Supporting Regularized Logistic Regression Privately and Efficiently
As one of the most popular statistical and machine learning models, logistic regression with regularization has found wide adoption in biomedicine, social sciences, information technology, and so on. These domains often involve data of human subjects that are contingent upon strict privacy regulatio...
Gespeichert in:
| Veröffentlicht in: | PloS one Jg. 11; H. 6; S. e0156479 |
|---|---|
| Hauptverfasser: | , , , |
| Format: | Journal Article |
| Sprache: | Englisch |
| Veröffentlicht: |
United States
Public Library of Science
06.06.2016
Public Library of Science (PLoS) |
| Schlagworte: | |
| ISSN: | 1932-6203, 1932-6203 |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| Abstract | As one of the most popular statistical and machine learning models, logistic regression with regularization has found wide adoption in biomedicine, social sciences, information technology, and so on. These domains often involve data of human subjects that are contingent upon strict privacy regulations. Concerns over data privacy make it increasingly difficult to coordinate and conduct large-scale collaborative studies, which typically rely on cross-institution data sharing and joint analysis. Our work here focuses on safeguarding regularized logistic regression, a widely-used statistical model while at the same time has not been investigated from a data security and privacy perspective. We consider a common use scenario of multi-institution collaborative studies, such as in the form of research consortia or networks as widely seen in genetics, epidemiology, social sciences, etc. To make our privacy-enhancing solution practical, we demonstrate a non-conventional and computationally efficient method leveraging distributing computing and strong cryptography to provide comprehensive protection over individual-level and summary data. Extensive empirical evaluations on several studies validate the privacy guarantee, efficiency and scalability of our proposal. We also discuss the practical implications of our solution for large-scale studies and applications from various disciplines, including genetic and biomedical studies, smart grid, network analysis, etc. |
|---|---|
| AbstractList | As one of the most popular statistical and machine learning models, logistic regression with regularization has found wide adoption in biomedicine, social sciences, information technology, and so on. These domains often involve data of human subjects that are contingent upon strict privacy regulations. Concerns over data privacy make it increasingly difficult to coordinate and conduct large-scale collaborative studies, which typically rely on cross-institution data sharing and joint analysis. Our work here focuses on safeguarding regularized logistic regression, a widely-used statistical model while at the same time has not been investigated from a data security and privacy perspective. We consider a common use scenario of multi-institution collaborative studies, such as in the form of research consortia or networks as widely seen in genetics, epidemiology, social sciences, etc. To make our privacy-enhancing solution practical, we demonstrate a non-conventional and computationally efficient method leveraging distributing computing and strong cryptography to provide comprehensive protection over individual-level and summary data. Extensive empirical evaluations on several studies validate the privacy guarantee, efficiency and scalability of our proposal. We also discuss the practical implications of our solution for large-scale studies and applications from various disciplines, including genetic and biomedical studies, smart grid, network analysis, etc. As one of the most popular statistical and machine learning models, logistic regression with regularization has found wide adoption in biomedicine, social sciences, information technology, and so on. These domains often involve data of human subjects that are contingent upon strict privacy regulations. Concerns over data privacy make it increasingly difficult to coordinate and conduct large-scale collaborative studies, which typically rely on cross-institution data sharing and joint analysis. Our work here focuses on safeguarding regularized logistic regression, a widely-used statistical model while at the same time has not been investigated from a data security and privacy perspective. We consider a common use scenario of multi-institution collaborative studies, such as in the form of research consortia or networks as widely seen in genetics, epidemiology, social sciences, etc. To make our privacy-enhancing solution practical, we demonstrate a non-conventional and computationally efficient method leveraging distributing computing and strong cryptography to provide comprehensive protection over individual-level and summary data. Extensive empirical evaluations on several studies validate the privacy guarantee, efficiency and scalability of our proposal. We also discuss the practical implications of our solution for large-scale studies and applications from various disciplines, including genetic and biomedical studies, smart grid, network analysis, etc.As one of the most popular statistical and machine learning models, logistic regression with regularization has found wide adoption in biomedicine, social sciences, information technology, and so on. These domains often involve data of human subjects that are contingent upon strict privacy regulations. Concerns over data privacy make it increasingly difficult to coordinate and conduct large-scale collaborative studies, which typically rely on cross-institution data sharing and joint analysis. Our work here focuses on safeguarding regularized logistic regression, a widely-used statistical model while at the same time has not been investigated from a data security and privacy perspective. We consider a common use scenario of multi-institution collaborative studies, such as in the form of research consortia or networks as widely seen in genetics, epidemiology, social sciences, etc. To make our privacy-enhancing solution practical, we demonstrate a non-conventional and computationally efficient method leveraging distributing computing and strong cryptography to provide comprehensive protection over individual-level and summary data. Extensive empirical evaluations on several studies validate the privacy guarantee, efficiency and scalability of our proposal. We also discuss the practical implications of our solution for large-scale studies and applications from various disciplines, including genetic and biomedical studies, smart grid, network analysis, etc. |
| Audience | Academic |
| Author | Xie, Wei Li, Wenfa Yang, Peng Liu, Hongzhe |
| AuthorAffiliation | 1 Beijing Key Laboratory of Information Service Engineering, Beijing Union University, Beijing, 100101, China 2 Department of Electrical Engineering & Computer Science, Vanderbilt University, Nashville, TN 37232, United States of America Technical University Darmstadt, GERMANY |
| AuthorAffiliation_xml | – name: Technical University Darmstadt, GERMANY – name: 2 Department of Electrical Engineering & Computer Science, Vanderbilt University, Nashville, TN 37232, United States of America – name: 1 Beijing Key Laboratory of Information Service Engineering, Beijing Union University, Beijing, 100101, China |
| Author_xml | – sequence: 1 givenname: Wenfa surname: Li fullname: Li, Wenfa – sequence: 2 givenname: Hongzhe surname: Liu fullname: Liu, Hongzhe – sequence: 3 givenname: Peng surname: Yang fullname: Yang, Peng – sequence: 4 givenname: Wei surname: Xie fullname: Xie, Wei |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/27271738$$D View this record in MEDLINE/PubMed |
| BookMark | eNqNk12L1DAUhousuB_6D0QHBNGLGfPZNF4Iy7rqwMDK7uJtSNOkkyHTjEm7OP56U6cj02VR6UXK6fO-zZucc5odNb7RWfYcghnEDL5b-S400s02qTwDkOaE8UfZCeQYTXME8NHB-3F2GuMKAIqLPH-SHSOGGGS4OMk-3nSbjQ-tberJta47J4P9qavJwtc2tlb1xaBjtL6ZfA32TrbabSeyqSaXxlhlddO67dPssZEu6mfDepbdfrq8vfgyXVx9nl-cL6aKIdpOS8CkpFQRDgoEma5IaQzRFJUcIo0YQTmmEitIcghZKaUpS4xgiVMESQ0-y17ubDfORzHkjwIyTiAChNBEzHdE5eVKbIJdy7AVXlrxu-BDLWTKqpwWXKOKY9IvhlSykBwYVarCFAblUvHk9WH4W1eudaVS0iDdyHT8pbFLUfs7QQpOaA6SwZvBIPjvnY6tWNuotHOy0b5L-y5AwRBhBP8bZZwWeQEASuire-jDBzFQtUxZbWN82qLqTcU5oYRzgkgfcfYAlZ5Kr61KfWVsqo8Eb0eCxLT6R1vLLkYxv7n-f_bq25h9fcAutXTtMnrXtant4hh8cXgpf25j39AJeL8DVPAxBm2Esq3sfVI06wQEop-e_aGJfnrEMD1JTO6J9_5_lf0Cv9Qdrw |
| CitedBy_id | crossref_primary_10_1007_s12204_021_2331_3 crossref_primary_10_1097_MD_0000000000007284 crossref_primary_10_1109_ACCESS_2019_2918625 crossref_primary_10_3390_ijerph17061828 crossref_primary_10_1109_TIFS_2019_2925496 crossref_primary_10_1038_s41416_024_02794_5 crossref_primary_10_3390_diagnostics11101909 crossref_primary_10_1007_s10055_021_00600_8 crossref_primary_10_1097_MD_0000000000007719 crossref_primary_10_1080_01621459_2021_1904958 crossref_primary_10_3390_su151712764 crossref_primary_10_1007_s00521_016_2783_9 crossref_primary_10_1016_j_ijmedinf_2016_09_014 |
| Cites_doi | 10.1371/journal.pcbi.1002822 10.1109/MSP.2009.76 10.1136/amiajnl-2011-000735 10.1109/TITB.2007.908465 10.1371/journal.pone.0062262 10.1016/j.ajhg.2011.11.029 10.1001/jama.2012.500 10.1177/0081175013520159 10.1136/amiajnl-2011-000699 10.1145/359168.359176 10.1534/genetics.112.146720 10.1002/gepi.20642 10.1093/biostatistics/kxg046 10.1109/TBME.2008.2005954 10.1145/2643132 10.1257/aer.102.3.65 10.1016/j.ajhg.2007.10.012 10.1111/insr.12021 10.1073/pnas.1218772110 10.29012/jpc.v4i1.617 10.2307/2347628 10.1093/bioinformatics/btu561 10.1002/gepi.20543 10.1145/1242572.1242643 10.1038/nrg3723 10.1186/1471-2105-12-384 10.1371/journal.pgen.1000167 10.1142/S0218488502001648 10.1080/00220670209598786 10.1038/nature08987 10.1111/j.2517-6161.1984.tb01288.x 10.1093/biostatistics/kxm010 10.1016/j.cmpb.2008.04.001 |
| ContentType | Journal Article |
| Copyright | COPYRIGHT 2016 Public Library of Science 2016 Li et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. 2016 Li et al 2016 Li et al |
| Copyright_xml | – notice: COPYRIGHT 2016 Public Library of Science – notice: 2016 Li et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. – notice: 2016 Li et al 2016 Li et al |
| DBID | AAYXX CITATION CGR CUY CVF ECM EIF NPM IOV ISR 3V. 7QG 7QL 7QO 7RV 7SN 7SS 7T5 7TG 7TM 7U9 7X2 7X7 7XB 88E 8AO 8C1 8FD 8FE 8FG 8FH 8FI 8FJ 8FK ABJCF ABUWG AEUYN AFKRA ARAPS ATCPS AZQEC BBNVY BENPR BGLVJ BHPHI C1K CCPQU D1I DWQXO FR3 FYUFA GHDGH GNUQQ H94 HCIFZ K9. KB. KB0 KL. L6V LK8 M0K M0S M1P M7N M7P M7S NAPCQ P5Z P62 P64 PATMY PDBOC PHGZM PHGZT PIMPY PJZUB PKEHL PPXIY PQEST PQGLB PQQKQ PQUKI PRINS PTHSS PYCSY RC3 7X8 5PM DOA |
| DOI | 10.1371/journal.pone.0156479 |
| DatabaseName | CrossRef Medline MEDLINE MEDLINE (Ovid) MEDLINE MEDLINE PubMed Gale In Context: Opposing Viewpoints Gale In Context: Science ProQuest Central (Corporate) Animal Behavior Abstracts Bacteriology Abstracts (Microbiology B) Biotechnology Research Abstracts ProQuest Nursing and Allied Health Journals - PSU access expires 11/30/25. Ecology Abstracts Entomology Abstracts (Full archive) Immunology Abstracts Meteorological & Geoastrophysical Abstracts Nucleic Acids Abstracts Virology and AIDS Abstracts Agricultural Science Collection ProQuest_Health & Medical Collection ProQuest Central (purchase pre-March 2016) Medical Database (Alumni Edition) ProQuest Pharma Collection Public Health Database Technology Research Database ProQuest SciTech Collection ProQuest Technology Collection ProQuest Natural Science Collection Hospital Premium Collection Hospital Premium Collection (Alumni Edition) ProQuest Central (Alumni) (purchase pre-March 2016) Materials Science & Engineering Collection ProQuest Central (Alumni) ProQuest One Sustainability (subscription) ProQuest Central UK/Ireland Advanced Technologies & Computer Science Collection Agricultural & Environmental Science Collection ProQuest Central Essentials Biological Science Collection ProQuest Central Technology collection Natural Science Collection Environmental Sciences and Pollution Management ProQuest One Community College ProQuest Materials Science Collection ProQuest Central Engineering Research Database Health Research Premium Collection Health Research Premium Collection (Alumni) ProQuest Central Student AIDS and Cancer Research Abstracts SciTech Premium Collection ProQuest Health & Medical Complete (Alumni) Materials Science Database Nursing & Allied Health Database (Alumni Edition) Meteorological & Geoastrophysical Abstracts - Academic ProQuest Engineering Collection Biological Sciences Agriculture Science Database ProQuest Health & Medical Collection Medical Database Algology Mycology and Protozoology Abstracts (Microbiology C) Biological Science Database Engineering Database Nursing & Allied Health Premium Advanced Technologies & Aerospace Database ProQuest Advanced Technologies & Aerospace Collection Biotechnology and BioEngineering Abstracts Environmental Science Database Materials Science Collection ProQuest Central Premium ProQuest One Academic ProQuest Publicly Available Content Database ProQuest Health & Medical Research Collection ProQuest One Academic Middle East (New) ProQuest One Health & Nursing ProQuest One Academic Eastern Edition (DO NOT USE) ProQuest One Applied & Life Sciences ProQuest One Academic (retired) ProQuest One Academic UKI Edition ProQuest Central China Engineering Collection Environmental Science Collection Genetics Abstracts MEDLINE - Academic PubMed Central (Full Participant titles) DOAJ Directory of Open Access Journals |
| DatabaseTitle | CrossRef MEDLINE Medline Complete MEDLINE with Full Text PubMed MEDLINE (Ovid) Agricultural Science Database Publicly Available Content Database ProQuest Central Student ProQuest Advanced Technologies & Aerospace Collection ProQuest Central Essentials Nucleic Acids Abstracts SciTech Premium Collection ProQuest Central China Environmental Sciences and Pollution Management ProQuest One Applied & Life Sciences ProQuest One Sustainability Health Research Premium Collection Meteorological & Geoastrophysical Abstracts Natural Science Collection Health & Medical Research Collection Biological Science Collection ProQuest Central (New) ProQuest Medical Library (Alumni) Engineering Collection Advanced Technologies & Aerospace Collection Engineering Database Virology and AIDS Abstracts ProQuest Biological Science Collection ProQuest One Academic Eastern Edition Agricultural Science Collection ProQuest Hospital Collection ProQuest Technology Collection Health Research Premium Collection (Alumni) Biological Science Database Ecology Abstracts ProQuest Hospital Collection (Alumni) Biotechnology and BioEngineering Abstracts Environmental Science Collection Entomology Abstracts Nursing & Allied Health Premium ProQuest Health & Medical Complete ProQuest One Academic UKI Edition Environmental Science Database ProQuest Nursing & Allied Health Source (Alumni) Engineering Research Database ProQuest One Academic Meteorological & Geoastrophysical Abstracts - Academic ProQuest One Academic (New) Technology Collection Technology Research Database ProQuest One Academic Middle East (New) Materials Science Collection ProQuest Health & Medical Complete (Alumni) ProQuest Central (Alumni Edition) ProQuest One Community College ProQuest One Health & Nursing ProQuest Natural Science Collection ProQuest Pharma Collection ProQuest Central ProQuest Health & Medical Research Collection Genetics Abstracts ProQuest Engineering Collection Biotechnology Research Abstracts Health and Medicine Complete (Alumni Edition) ProQuest Central Korea Bacteriology Abstracts (Microbiology B) Algology Mycology and Protozoology Abstracts (Microbiology C) Agricultural & Environmental Science Collection AIDS and Cancer Research Abstracts Materials Science Database ProQuest Materials Science Collection ProQuest Public Health ProQuest Nursing & Allied Health Source ProQuest SciTech Collection Advanced Technologies & Aerospace Database ProQuest Medical Library Animal Behavior Abstracts Materials Science & Engineering Collection Immunology Abstracts ProQuest Central (Alumni) MEDLINE - Academic |
| DatabaseTitleList | Agricultural Science Database Engineering Research Database MEDLINE - Academic MEDLINE |
| Database_xml | – sequence: 1 dbid: DOA name: DOAJ Open Access Journals url: https://www.doaj.org/ sourceTypes: Open Website – sequence: 2 dbid: NPM name: PubMed url: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed sourceTypes: Index Database – sequence: 3 dbid: PIMPY name: Publicly Available Content Database url: http://search.proquest.com/publiccontent sourceTypes: Aggregation Database |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Sciences (General) |
| DocumentTitleAlternate | Supporting Regularized Logistic Regression Privately and Efficiently |
| EISSN | 1932-6203 |
| ExternalDocumentID | 1794120445 oai_doaj_org_article_9e2d9349e2df4da8a90fcbc8f8f26ac9 PMC4894560 4079928141 A454994249 27271738 10_1371_journal_pone_0156479 |
| Genre | Journal Article |
| GeographicLocations | United States Beijing China China |
| GeographicLocations_xml | – name: United States – name: China – name: Beijing China |
| GrantInformation_xml | – fundername: ; grantid: Zk80201403 – fundername: ; grantid: 61300078 – fundername: ; grantid: CIT&TCD20130320 |
| GroupedDBID | --- 123 29O 2WC 53G 5VS 7RV 7X2 7X7 7XC 88E 8AO 8C1 8CJ 8FE 8FG 8FH 8FI 8FJ A8Z AAFWJ AAUCC AAWOE AAYXX ABDBF ABIVO ABJCF ABUWG ACCTH ACGFO ACIHN ACIWK ACPRK ACUHS ADBBV ADRAZ AEAQA AENEX AEUYN AFFHD AFKRA AFPKN AFRAH AHMBA ALMA_UNASSIGNED_HOLDINGS AOIJS APEBS ARAPS ATCPS BAIFH BAWUL BBNVY BBTPI BCNDV BENPR BGLVJ BHPHI BKEYQ BPHCQ BVXVI BWKFM CCPQU CITATION CS3 D1I D1J D1K DIK DU5 E3Z EAP EAS EBD EMOBN ESX EX3 F5P FPL FYUFA GROUPED_DOAJ GX1 HCIFZ HH5 HMCUK HYE IAO IEA IGS IHR IHW INH INR IOV IPY ISE ISR ITC K6- KB. KQ8 L6V LK5 LK8 M0K M1P M48 M7P M7R M7S M~E NAPCQ O5R O5S OK1 OVT P2P P62 PATMY PDBOC PHGZM PHGZT PIMPY PJZUB PPXIY PQGLB PQQKQ PROAC PSQYO PTHSS PV9 PYCSY RNS RPM RZL SV3 TR2 UKHRP WOQ WOW ~02 ~KM ALIPV BBORY CGR CUY CVF ECM EIF IPNFZ NPM RIG 3V. 7QG 7QL 7QO 7SN 7SS 7T5 7TG 7TM 7U9 7XB 8FD 8FK AZQEC C1K DWQXO ESTFP FR3 GNUQQ H94 K9. KL. M7N P64 PKEHL PQEST PQUKI PRINS RC3 7X8 PUEGO 5PM - 02 AAPBV ABPTK ADACO BBAFP KM |
| ID | FETCH-LOGICAL-c725t-b07aa55c4908217ed4bff4e52b912e2742635a3c146117baafbb321b3620a5f3 |
| IEDL.DBID | DOA |
| ISICitedReferencesCount | 24 |
| ISICitedReferencesURI | http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000377560200010&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| ISSN | 1932-6203 |
| IngestDate | Fri Nov 26 17:14:27 EST 2021 Tue Oct 14 18:46:16 EDT 2025 Tue Nov 04 01:54:57 EST 2025 Tue Oct 07 09:42:03 EDT 2025 Thu Oct 02 04:41:12 EDT 2025 Tue Oct 07 07:44:13 EDT 2025 Sat Nov 29 13:01:48 EST 2025 Sat Nov 29 10:00:38 EST 2025 Wed Nov 26 09:24:08 EST 2025 Wed Nov 26 09:39:18 EST 2025 Thu May 22 21:22:04 EDT 2025 Thu Apr 03 06:49:55 EDT 2025 Tue Nov 18 21:00:22 EST 2025 Sat Nov 29 05:46:00 EST 2025 |
| IsDoiOpenAccess | true |
| IsOpenAccess | true |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 6 |
| Language | English |
| License | This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Creative Commons Attribution License |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c725t-b07aa55c4908217ed4bff4e52b912e2742635a3c146117baafbb321b3620a5f3 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 Conceived and designed the experiments: WL WX. Performed the experiments: WL WX. Analyzed the data: WL HL PY WX. Contributed reagents/materials/analysis tools: WL HL PY WX. Wrote the paper: WL HL PY WX. Competing Interests: The authors have declared that no competing interests exist. |
| OpenAccessLink | https://doaj.org/article/9e2d9349e2df4da8a90fcbc8f8f26ac9 |
| PMID | 27271738 |
| PQID | 1794120445 |
| PQPubID | 1436336 |
| ParticipantIDs | plos_journals_1794120445 doaj_primary_oai_doaj_org_article_9e2d9349e2df4da8a90fcbc8f8f26ac9 pubmedcentral_primary_oai_pubmedcentral_nih_gov_4894560 proquest_miscellaneous_1808724743 proquest_miscellaneous_1795868002 proquest_journals_1794120445 gale_infotracmisc_A454994249 gale_infotracacademiconefile_A454994249 gale_incontextgauss_ISR_A454994249 gale_incontextgauss_IOV_A454994249 gale_healthsolutions_A454994249 pubmed_primary_27271738 crossref_citationtrail_10_1371_journal_pone_0156479 crossref_primary_10_1371_journal_pone_0156479 |
| PublicationCentury | 2000 |
| PublicationDate | 2016-06-06 |
| PublicationDateYYYYMMDD | 2016-06-06 |
| PublicationDate_xml | – month: 06 year: 2016 text: 2016-06-06 day: 06 |
| PublicationDecade | 2010 |
| PublicationPlace | United States |
| PublicationPlace_xml | – name: United States – name: San Francisco – name: San Francisco, CA USA |
| PublicationTitle | PloS one |
| PublicationTitleAlternate | PLoS One |
| PublicationYear | 2016 |
| Publisher | Public Library of Science Public Library of Science (PLoS) |
| Publisher_xml | – name: Public Library of Science – name: Public Library of Science (PLoS) |
| References | N Malo (ref28) 2008; 82 A Beimel (ref42) 2011 S Le Cessie (ref2) 1992 N Masuda (ref52) 2013; 8 PM Visscher (ref3) 2012; 90 X Shen (ref49) 2013; 193 N Homer (ref23) 2008; 4 W Xie (ref13) 2014; 30 ref17 ref19 ref18 Y Wu (ref37) 2012; vol. 2012 Y Erlich (ref12) 2014; 15 TJ Hudson (ref14) 2010; 464 R Hall (ref40) 2011; 27 EA Abbe (ref46) 2012; 102 (ref11) 2002; 67 M Kantarcioglu (ref22) 2008; 12 D Boyd (ref16) 2008; 14 ref47 M Kosinski (ref8) 2013; 110 ref43 P McDaniel (ref51) 2009; 7 JV Selby (ref45) 2012; 307 O Goldreich (ref29) 2009 Z Liu (ref34) 2011; 12 ref9 A Shamir (ref30) 1979; 22 J Zhu (ref33) 2004; 5 WS Bush (ref31) 2012; 8 MA Little (ref44) 2009; 56 M Wolfson (ref6) 2010 CYJ Peng (ref7) 2002; 96 K El Emam (ref26) 2013; 20 K Chaudhuri (ref48) 2009 ref32 R Sparks (ref24) 2008; 91 KL Ayers (ref27) 2010; 34 W Du (ref41) 2004; vol. 4 ZW Almquist (ref53) 2014; 44 CM O’Keefe (ref25) 2013; 81 TP Minka (ref36) 2003 C Dwork (ref21) 2011 A Dasgupta (ref5) 2011; 35 L Wasserman (ref1) 2011 V Nikolaenko (ref39) 2013 C Dai (ref10) 2014; 7 Y Nardi (ref38) 2012; 4 L Sweeney (ref20) 2002; 10 JP Daries (ref15) 2014; 57 MY Park (ref4) 2008; 9 PJ Green (ref35) 1984 M Liu (ref50) 2012; 19 |
| References_xml | – volume: 8 start-page: e1002822 issue: 12 year: 2012 ident: ref31 article-title: Genome-wide association studies publication-title: PLoS computational biology doi: 10.1371/journal.pcbi.1002822 – volume: 27 start-page: 669 issue: 4 year: 2011 ident: ref40 article-title: Secure multiple linear regression based on homomorphic encryption publication-title: Journal of Official Statistics – year: 2011 ident: ref1 article-title: All of statistics – volume: 7 start-page: 75 issue: 3 year: 2009 ident: ref51 article-title: Security and Privacy Challenges in the Smart Grid publication-title: Security & Privacy, IEEE doi: 10.1109/MSP.2009.76 – volume: 20 start-page: 453 issue: 3 year: 2013 ident: ref26 article-title: A secure distributed logistic regression protocol for the detection of rare adverse drug events publication-title: Journal of the American Medical Informatics Association doi: 10.1136/amiajnl-2011-000735 – ident: ref43 – volume: 12 start-page: 606 issue: 5 year: 2008 ident: ref22 article-title: A cryptographic approach to securely share and query genomic sequences publication-title: Information Technology in Biomedicine, IEEE Transactions on doi: 10.1109/TITB.2007.908465 – volume: 8 start-page: e62262 issue: 4 year: 2013 ident: ref52 article-title: Suicide ideation of individuals in online social networks publication-title: PloS one doi: 10.1371/journal.pone.0062262 – start-page: 338 year: 2011 ident: ref21 article-title: Encyclopedia of Cryptography and Security – start-page: 11 year: 2011 ident: ref42 article-title: Coding and cryptology – volume: 90 start-page: 7 issue: 1 year: 2012 ident: ref3 article-title: Five years of GWAS discovery publication-title: The American Journal of Human Genetics doi: 10.1016/j.ajhg.2011.11.029 – ident: ref17 – volume: 307 start-page: 1583 issue: 15 year: 2012 ident: ref45 article-title: The Patient-Centered Outcomes Research Institute (PCORI) national priorities for research and initial research agenda publication-title: Jama doi: 10.1001/jama.2012.500 – volume: 44 start-page: 273 issue: 1 year: 2014 ident: ref53 article-title: Logistic Network Regression for Scalable Analysis of Networks with Joint Edge/Vertex Dynamics publication-title: Sociological Methodology doi: 10.1177/0081175013520159 – volume: 19 start-page: e28 issue: e1 year: 2012 ident: ref50 article-title: Large-scale prediction of adverse drug reactions using chemical, biological, and phenotypic properties of drugs publication-title: Journal of the American Medical Informatics Association doi: 10.1136/amiajnl-2011-000699 – year: 2009 ident: ref29 article-title: Foundations of cryptography: volume 2, basic applications – year: 2003 ident: ref36 article-title: A comparison of numerical optimizers for logistic regression publication-title: A comparison of numerical optimizers for logistic regression – volume: 22 start-page: 612 issue: 11 year: 1979 ident: ref30 article-title: How to share a secret publication-title: Communications of the ACM doi: 10.1145/359168.359176 – volume: 67 start-page: 53181 issue: 157 year: 2002 ident: ref11 article-title: Standards for privacy of individually identifiable health information. Final rule publication-title: Federal Register – volume: 7 issue: 13 year: 2014 ident: ref10 article-title: A Personalized Recommendation System for NetEase Dating Site publication-title: Proceedings of the VLDB Endowment – ident: ref47 – volume: 193 start-page: 1255 issue: 4 year: 2013 ident: ref49 article-title: A novel generalized ridge regression method for quantitative genetics publication-title: Genetics doi: 10.1534/genetics.112.146720 – volume: 35 start-page: S5 issue: S1 year: 2011 ident: ref5 article-title: Brief review of regression-based and machine learning methods in genetic epidemiology: the Genetic Analysis Workshop 17 experience publication-title: Genetic epidemiology doi: 10.1002/gepi.20642 – volume: 5 start-page: 427 issue: 3 year: 2004 ident: ref33 article-title: Classification of gene microarrays by penalized logistic regression publication-title: Biostatistics doi: 10.1093/biostatistics/kxg046 – volume: 56 start-page: 1015 issue: 4 year: 2009 ident: ref44 article-title: Suitability of dysphonia measurements for telemonitoring of Parkinson’s disease publication-title: Biomedical Engineering, IEEE Transactions on doi: 10.1109/TBME.2008.2005954 – volume: 57 start-page: 56 issue: 9 year: 2014 ident: ref15 article-title: Privacy, anonymity, and big data in the social sciences publication-title: Communications of the ACM doi: 10.1145/2643132 – volume: vol. 2012 start-page: 1450 year: 2012 ident: ref37 article-title: AMIA Annual Symposium Proceedings – volume: 102 start-page: 65 issue: 3 year: 2012 ident: ref46 article-title: Privacy-Preserving Methods for Sharing Financial Risk Exposures publication-title: American Economic Review doi: 10.1257/aer.102.3.65 – volume: 82 start-page: 375 issue: 2 year: 2008 ident: ref28 article-title: Accommodating linkage disequilibrium in genetic-association analyses via ridge regression publication-title: The American Journal of Human Genetics doi: 10.1016/j.ajhg.2007.10.012 – volume: 81 start-page: 426 issue: 3 year: 2013 ident: ref25 article-title: A summary of attack methods and confidentiality protection measures for fully automated remote analysis systems publication-title: International Statistical Review doi: 10.1111/insr.12021 – volume: 110 start-page: 5802 issue: 15 year: 2013 ident: ref8 article-title: Private traits and attributes are predictable from digital records of human behavior publication-title: Proceedings of the National Academy of Sciences doi: 10.1073/pnas.1218772110 – volume: 4 start-page: 9 issue: 1 year: 2012 ident: ref38 article-title: Achieving both valid and secure logistic regression analysis on aggregated data from different private sources publication-title: Journal of Privacy and Confidentiality doi: 10.29012/jpc.v4i1.617 – start-page: 191 year: 1992 ident: ref2 article-title: Ridge estimators in logistic regression publication-title: Applied statistics doi: 10.2307/2347628 – volume: 30 start-page: 3334 issue: 23 year: 2014 ident: ref13 article-title: SecureMA: protecting participant privacy in genetic association meta-analysis publication-title: Bioinformatics doi: 10.1093/bioinformatics/btu561 – volume: 34 start-page: 879 issue: 8 year: 2010 ident: ref27 article-title: SNP Selection in genome-wide and candidate gene studies via penalized logistic regression publication-title: Genetic epidemiology doi: 10.1002/gepi.20543 – start-page: dyq111 year: 2010 ident: ref6 article-title: DataSHIELD: resolving a conflict in contemporary bioscience—performing a pooled analysis of individual-level data without sharing the data publication-title: International journal of epidemiology – ident: ref9 doi: 10.1145/1242572.1242643 – volume: 15 start-page: 409 issue: 6 year: 2014 ident: ref12 article-title: Routes for breaching and protecting genetic privacy publication-title: Nature Reviews Genetics doi: 10.1038/nrg3723 – ident: ref19 – ident: ref32 – volume: vol. 4 start-page: 222 year: 2004 ident: ref41 article-title: SDM – volume: 12 start-page: 384 issue: 1 year: 2011 ident: ref34 article-title: Multilocus association mapping using generalized ridge logistic regression publication-title: BMC bioinformatics doi: 10.1186/1471-2105-12-384 – volume: 4 start-page: e1000167 issue: 8 year: 2008 ident: ref23 article-title: Resolving individuals contributing trace amounts of DNA to highly complex mixtures using high-density SNP genotyping microarrays publication-title: PLoS genetics doi: 10.1371/journal.pgen.1000167 – start-page: 334 year: 2013 ident: ref39 article-title: Security and Privacy (SP), 2013 IEEE Symposium on – volume: 10 start-page: 557 issue: 05 year: 2002 ident: ref20 article-title: k-anonymity: A model for protecting privacy publication-title: International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems doi: 10.1142/S0218488502001648 – start-page: 289 year: 2009 ident: ref48 article-title: Advances in Neural Information Processing Systems – volume: 96 start-page: 3 issue: 1 year: 2002 ident: ref7 article-title: An introduction to logistic regression analysis and reporting publication-title: The Journal of Educational Research doi: 10.1080/00220670209598786 – volume: 464 start-page: 993 issue: 7291 year: 2010 ident: ref14 article-title: International network of cancer genome projects publication-title: Nature doi: 10.1038/nature08987 – volume: 14 start-page: 13 issue: 1 year: 2008 ident: ref16 article-title: Facebook’s Privacy Trainwreck publication-title: Convergence: The International Journal of Research into New Media Technologies – ident: ref18 – start-page: 149 year: 1984 ident: ref35 article-title: Iteratively reweighted least squares for maximum likelihood estimation, and some robust and resistant alternatives publication-title: Journal of the Royal Statistical Society Series B (Methodological) doi: 10.1111/j.2517-6161.1984.tb01288.x – volume: 9 start-page: 30 issue: 1 year: 2008 ident: ref4 article-title: Penalized logistic regression for detecting gene interactions publication-title: Biostatistics doi: 10.1093/biostatistics/kxm010 – volume: 91 start-page: 208 issue: 3 year: 2008 ident: ref24 article-title: Remote access methods for exploratory data analysis and statistical modelling: Privacy-Preserving Analytics publication-title: Computer methods and programs in biomedicine doi: 10.1016/j.cmpb.2008.04.001 |
| SSID | ssj0053866 |
| Score | 2.346336 |
| Snippet | As one of the most popular statistical and machine learning models, logistic regression with regularization has found wide adoption in biomedicine, social... |
| SourceID | plos doaj pubmedcentral proquest gale pubmed crossref |
| SourceType | Open Website Open Access Repository Aggregation Database Index Database Enrichment Source |
| StartPage | e0156479 |
| SubjectTerms | Analysis Biology and Life Sciences Collaboration Computer and Information Sciences Computer Communication Networks - organization & administration Computer Communication Networks - standards Computer Communication Networks - statistics & numerical data Computer engineering Computer Security Confidentiality Consortia Cooperative Behavior Cryptography Cybersecurity Data collection Data processing Data retrieval Distributed processing Empirical analysis Engineering and Technology Epidemiology Genetic Information Nondiscrimination Act 2008-US Genetics Genomes Health informatics Humans Information Dissemination - methods Information management Information services Information sharing Information technology Laboratories Learning algorithms Linear algebra Logistic Models Machine learning Machine Learning - standards Management Mathematical models Medicine and Health Sciences Methods Models, Statistical Network analysis Parkinson's disease Physical Sciences Privacy Quantitative genetics Regression analysis Regression models Regularization Research and Analysis Methods Security Smart grid Social Sciences Statistical analysis Statistical models |
| SummonAdditionalLinks | – databaseName: Biological Science Database dbid: M7P link: http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV1Lb9QwELZg4cCFUl7dUiAgJOCQNnEcP06oQCuQqrIqVdVb5PixrLRKlmQXqfx6PI43NKgqSJxWiifR2vPwjD3zDUKvlNvVtcQkzq0VMWGUxlLkOE6sSagSlEl_mHN2xI6P-fm5mIQDtzakVa5tojfUulZwRr4HgpPihJD83eJ7DF2j4HY1tNC4iW4BSkLmU_cma0vsdJnSUC6XsXQvcGd3UVdmF0qICSRwXdqOPGp_b5tHi3ndXuV4_pk_eWlDOtz436ncQ3eDKxrtd7KziW6Y6j7aDMreRm8CIvXbB-gj9P6sAW9gGp345vXN7KfR0ZEvH5opeNjl01bRpIF-aWZ-EclKRwceocJNYH7xEJ0eHpx--BSH9guxYjhfxmXCpMxzBVeDLnAxmpTWEpPjUqTYwBWvc1ZkpqAzeMpKKW1ZZjgt3ZaYyNxmj9Cociu9haKcUylxojHWlHArSkM0o0qyXEieaTlG2ZoJhQrQ5NAhY174-zbmQpRuSQpgXRFYN0Zx_9aig-b4C_174G9PC8Da_kHdTIugp4UwWIuMwI8lWnIpEqtKxS23mErlPvIcpKPoqlR781DsEwi0iQtmx-ilpwBwjQqyd6Zy1bbF5y9n_0D09WRA9DoQ2doth5KhYsLNCUC7BpQ7A0pnItRgeAtkeb0qbfFbAt2baxm9evhFPwwfhYy8ytQrT-PYCuHGNTQ84QwT56SO0eNOZfrVx85xTlnGx4gNlGnAnuFINfvm8c8JF87tT7av_-tP0B3n3FKf1kd30GjZrMxTdFv9WM7a5pk3FL8AZ0Bzwg priority: 102 providerName: ProQuest – databaseName: Public Library of Science (PLoS) Journals Open Access dbid: FPL link: http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV3db9MwELeg8MALY3wtY0BASMBDRuL483HAKpCqUY1p2lvkOPaoVCVV0yKNvx6f4wYybXw8VYp_juKz73xXn3-H0CvtdvVKYZJQa2VCOGOJkhQnqTUp05Jx5f_MOZ3woyNxdianvwLFSyf4Oc_eBZnuL5ra7MPFX8LlTXQL54xBCtd4OtlYXqe7jIXrcdf1HGw_nqW_t8Wjxbxpr3I0L-dL_rYBjbf-99PvobvB1YwPurWxjW6Y-j7aDsrcxm8C4_TbB-gj1PZsgE_gPD72xemXsx-miif-etBMw8MuX7aOp0uoh2bmF7Gqq_jQM1C4D55fPEQn48OTD5-SUF4h0RzTVVKmXClKNRz9ucDEVKS0lhiKS5lhA0e4zhlRuYbK3xkvlbJlmeOsdFteqqjNH6FR7Qa2g2IqmFI4rTCuGBFWloZUnGnFqVQir1SE8o3QCx2ox6ECxrzw52nchSCdSAqQVBEkFaGk77XoqDf-gn8P89ljgTjbP3BTUgQ9LKTBlcwJ_FhSKaFkanWphRUWM6XdS57Daii6W6i9-hcHBAJp4oLVCL30CCDPqCE751yt27b4_OX0H0Bfjweg1wFkGycOrcKNCDcmIOUaIPcGSGcC9KB5B9buRiptAVY2wykh1PXcrOerm1_0zfBSyLirTbP2GDetEE78ASNSwTFxTmiEHncq0ksfO8c447mIEB8oz2B6hi317JvnNydCOrc-3b1-VE_QHee4Mp-yx_bQaLVcm6fotv6-mrXLZ94o_ATMf2Is priority: 102 providerName: Public Library of Science |
| Title | Supporting Regularized Logistic Regression Privately and Efficiently |
| URI | https://www.ncbi.nlm.nih.gov/pubmed/27271738 https://www.proquest.com/docview/1794120445 https://www.proquest.com/docview/1795868002 https://www.proquest.com/docview/1808724743 https://pubmed.ncbi.nlm.nih.gov/PMC4894560 https://doaj.org/article/9e2d9349e2df4da8a90fcbc8f8f26ac9 http://dx.doi.org/10.1371/journal.pone.0156479 |
| Volume | 11 |
| WOSCitedRecordID | wos000377560200010&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| journalDatabaseRights | – providerCode: PRVAON databaseName: DOAJ Open Access Journals customDbUrl: eissn: 1932-6203 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0053866 issn: 1932-6203 databaseCode: DOA dateStart: 20060101 isFulltext: true titleUrlDefault: https://www.doaj.org/ providerName: Directory of Open Access Journals – providerCode: PRVHPJ databaseName: ROAD: Directory of Open Access Scholarly Resources customDbUrl: eissn: 1932-6203 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0053866 issn: 1932-6203 databaseCode: M~E dateStart: 20060101 isFulltext: true titleUrlDefault: https://road.issn.org providerName: ISSN International Centre – providerCode: PRVPQU databaseName: Advanced Technologies & Aerospace Database customDbUrl: eissn: 1932-6203 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0053866 issn: 1932-6203 databaseCode: P5Z dateStart: 20061201 isFulltext: true titleUrlDefault: https://search.proquest.com/hightechjournals providerName: ProQuest – providerCode: PRVPQU databaseName: Agricultural Science Database customDbUrl: eissn: 1932-6203 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0053866 issn: 1932-6203 databaseCode: M0K dateStart: 20061201 isFulltext: true titleUrlDefault: https://search.proquest.com/agriculturejournals providerName: ProQuest – providerCode: PRVPQU databaseName: Biological Science Database customDbUrl: eissn: 1932-6203 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0053866 issn: 1932-6203 databaseCode: M7P dateStart: 20061201 isFulltext: true titleUrlDefault: http://search.proquest.com/biologicalscijournals providerName: ProQuest – providerCode: PRVPQU databaseName: Engineering Database customDbUrl: eissn: 1932-6203 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0053866 issn: 1932-6203 databaseCode: M7S dateStart: 20061201 isFulltext: true titleUrlDefault: http://search.proquest.com providerName: ProQuest – providerCode: PRVPQU databaseName: Environmental Science Database customDbUrl: eissn: 1932-6203 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0053866 issn: 1932-6203 databaseCode: PATMY dateStart: 20061201 isFulltext: true titleUrlDefault: http://search.proquest.com/environmentalscience providerName: ProQuest – providerCode: PRVPQU databaseName: Health & Medical Collection customDbUrl: eissn: 1932-6203 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0053866 issn: 1932-6203 databaseCode: 7X7 dateStart: 20061201 isFulltext: true titleUrlDefault: https://search.proquest.com/healthcomplete providerName: ProQuest – providerCode: PRVPQU databaseName: Materials Science Database customDbUrl: eissn: 1932-6203 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0053866 issn: 1932-6203 databaseCode: KB. dateStart: 20061201 isFulltext: true titleUrlDefault: http://search.proquest.com/materialsscijournals providerName: ProQuest – providerCode: PRVPQU databaseName: Nursing & Allied Health Database customDbUrl: eissn: 1932-6203 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0053866 issn: 1932-6203 databaseCode: 7RV dateStart: 20061201 isFulltext: true titleUrlDefault: https://search.proquest.com/nahs providerName: ProQuest – providerCode: PRVPQU databaseName: ProQuest Central customDbUrl: eissn: 1932-6203 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0053866 issn: 1932-6203 databaseCode: BENPR dateStart: 20061201 isFulltext: true titleUrlDefault: https://www.proquest.com/central providerName: ProQuest – providerCode: PRVPQU databaseName: Public Health Database customDbUrl: eissn: 1932-6203 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0053866 issn: 1932-6203 databaseCode: 8C1 dateStart: 20061201 isFulltext: true titleUrlDefault: https://search.proquest.com/publichealth providerName: ProQuest – providerCode: PRVPQU databaseName: Publicly Available Content Database customDbUrl: eissn: 1932-6203 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0053866 issn: 1932-6203 databaseCode: PIMPY dateStart: 20061201 isFulltext: true titleUrlDefault: http://search.proquest.com/publiccontent providerName: ProQuest – providerCode: PRVATS databaseName: Public Library of Science (PLoS) Journals Open Access customDbUrl: eissn: 1932-6203 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0053866 issn: 1932-6203 databaseCode: FPL dateStart: 20060101 isFulltext: true titleUrlDefault: http://www.plos.org/publications/ providerName: Public Library of Science |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV3db9MwELeg8MALYnwtMEpASMBDusRxYudxHa2Y1pWom6qxl8hx4lGpSqumRRp_PXdOGjVoYjzwcpXicz_uzvZdffc7Qj4oONUzSZkTaB05jIehI6OAOq7O3VBFIZfmz5zpiI_H4vIyindafWFOWAUPXAnuMMppFvkMXzTLpJCRq1WqhBaahlKZ0j3werbBVLUHwyoOw7pQzufeYa2X3nJR5D0sHmaYurVzEBm8_mZX7izni_I2l_PPzMmdo2j4hDyufUj7qPrue-ReXjwle_UqLe1PNZT052fkCzbtXCBQwLU9MV3nV7NfeWaPTN3PTOHDKhG2sOMVNjrL5ze2LDJ7YKAl4PPnN8_JxXBwcfzVqfsmOIrTYO2kLpcyCBTe6UHEkWcs1ZrlAU0jj-Z4NwtehvQVtvT2eCqlTlOfeimcZa4MtP-CdAoQ1D6xAxFKSd2M0ixkQkdpzjIeKsmDSAo_kxbxtzJMVI0pjq0t5om5KOMQW1QiSVDySS15izjNrGWFqXEHfx_V0_AiIrZ5AHaS1HaS3GUnFnmLyk2q8tJmXSdHDCNkBlGoRd4bDkTFKDDt5lpuyjI5-Tb9B6bzSYvpY82kFyAOJetSB_hNiLbV4jxoccLaVq3hfTTFrVTKBLdPj7qMBTBza563D79rhvFNMZWuyBcbwwNqxTjhLzzCFZwy8C4t8rKy-Eb6FDxej_vCIry1FlrqaY8Usx8GuJyJCPx199X_0Odr8gh819Bk7YUHpLNebfI35KH6uZ6Vqy65zydTpJfcUAFUHHtd8qA_GMeTrtktgA7jEdDTfg_omXuKlMeGngONgyuYEZ-cxd9_A34mdBk |
| linkProvider | Directory of Open Access Journals |
| linkToHtml | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMw1V1bb9MwFLZGQYIXYNxWGCwgEPCQLXEcO3lAaLBNq1bKtFXV3izHsUulKilNCyr_if-Ij3NhQdPgZQ88VYpPrOZcPvvY54LQS2lW9VRg4oZaxy5hlLoiDrHraeVRGVMm7GHOqM8Gg-jsLD5eQz_rXBgIq6wx0QJ1mks4I98BxfGxR0j4fvbVha5RcLtat9Ao1eJIrb4bl61419sz8n2F8cH-8OOhW3UVcCXD4cJNPCZEGEq48TL7cZWSRGuiQpzEPlZwc2nWYBFIaHjts0QInSQB9hOD9J4IdWCmvYauGxj3IYKMnYxq4DfQQWmVnRcwf6dShu1ZnqltyFgmEC92bvWzTQKapaAzm-bFRfvcP8M1z61_B3f-M87dRberjbazW1rGOlpT2T20XkFZ4byp6m2_vY_2oLNpDtUUxs6JGkNc7uSHSp2-TY6aSHhYRgtnzvEcusGp6coRWers2_obhl_T1QM0vIqPeYg6mRHsBnLCiAqBvRTjlJJIx4kiKaNSsDAWUZCKLgpqmXNZFV6H_h9Tbm8TmXHASpZw0BReaUoXuc1bs7LwyF_oP4A6NbRQNtw-yOdjXqEQjxVO44DAjyapiETsaZnISEcaUyHNJFugjLzMwW3Aj-8SOEYgxlXvoheWAkqHZBCbNBbLouC9z6N_IDo9aRG9roh0btghRZUPYr4JSpK1KDdblAYAZWt4A0yn5krBfyu8ebM2iYuHnzfDMCnEG2YqX1oaI1Zwpi6hibyIYWK24F30qLTQhvvYuAU-C6IuYi3bbYmnPZJNvtjq7iSKjVPjPb78r2-hm4fDT33e7w2OnqBbZhtPbQAj3USdxXypnqIb8ttiUsyfWYxyEL9iy_4FfdPO3w |
| linkToPdf | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMw1R1Nb9Mw1BoFIS7A-FphsIBAwCFr4jh2ckBorJuoVpVqTNNuluPYpVKVlKYFlX_Gv8PP-WBB0-CyA6dK8YvVvO9nvw-EXkpj1VOBiRtqHbuEUeqKOMSup5VHZUyZsIc5p0M2GkVnZ_F4A_2sa2EgrbLWiVZRp7mEM_IeMI6PPULCnq7SIsb9w_fzry5MkIKb1nqcRskiR2r93YRvxbtB39D6FcaHByf7H91qwoArGQ6XbuIxIcJQwu2X8c1VShKtiQpxEvtYwS2msccikDD82meJEDpJAuwnRut7ItSB2fYaus4Cw8RQpL7fZJcYNUJpVakXML9XMcbuPM_ULlQvE8gdO2cJ7cCAxix05rO8uMjn_TN185wtPLzzH2PxLrpdOeDOXikxm2hDZffQZqXiCudN1Yf77X3Uh4mnOXRZmDjHagL5utMfKnWGtmhqKuFhmUWcOeMFTIlTs7UjstQ5sH05DO5m6wfo5Co-5iHqZIbIW8gJIyoE9lKMU0oiHSeKpIxKwcJYREEquiio6c9l1ZAd5oLMuL1lZCYwK1HCgWt4xTVd5DZvzcuGJH-B_wCs1cBCO3H7IF9MeKWdeKxwGgcEfjRJRSRiT8tERjrSmAppNtkBxuRlbW6jFPkegeMFYkL4LnphIaClSAZsNRGrouCDT6f_APT5uAX0ugLSuUGHFFWdiPkmaFXWgtxuQRrFKFvLWyBGNVYK_pv5zZu1eFy8_LxZhk0hDzFT-crCGLJCkHUJTORFDBPjmnfRo1JaG-xjEy74LIi6iLXkuEWe9ko2_WK7vpMoNsGO9_jyv76DbhqB5sPB6OgJumW8e2rzGuk26iwXK_UU3ZDfltNi8cyqKwfxKxbsXwBg1zo |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Supporting+Regularized+Logistic+Regression+Privately+and+Efficiently&rft.jtitle=PloS+one&rft.au=Li%2C+Wenfa&rft.au=Liu%2C+Hongzhe&rft.au=Yang%2C+Peng&rft.au=Xie%2C+Wei&rft.date=2016-06-06&rft.eissn=1932-6203&rft.volume=11&rft.issue=6&rft.spage=e0156479&rft_id=info:doi/10.1371%2Fjournal.pone.0156479&rft_id=info%3Apmid%2F27271738&rft.externalDocID=27271738 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1932-6203&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1932-6203&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1932-6203&client=summon |