Výsledky vyhľadávania - "Communication-efficient algorithm"

Distributed Marginal Return: A Communication-Efficient Algorithm for Multi-Agent Weapon Target Assignment

Autori: Kamal Mammadov Glen Pearce Helen Krause a ďalší

M22: A Communication-Efficient Algorithm for Federated Learning Inspired by Rate-Distortion

Autori: Yangyi Liu Stefano Rini Sadaf Salehkalaibar a ďalší

Zdroj: IEEE Transactions on Communications. 72:845-860

Predmety: FOS: Computer and information sciences, Computer Science - Machine Learning, Computer Science - Distributed, Parallel, and Cluster Computing, Computer Science - Information Theory, Information Theory (cs.IT), 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, Distributed, Parallel, and Cluster Computing (cs.DC), Machine Learning (cs.LG)

Prístupová URL adresa: http://arxiv.org/abs/2301.09269

A Communication-Efficient Algorithm for Federated Multilevel Stochastic Compositional Optimization

Autori: Shuoguang Yang Fengpei Li

Zdroj: IEEE Transactions on Signal Processing. 72:2333-2347

Predmety: Multilevel stochastic compositional optimization, Communication efficient, Distributed optimization

Federated Learning under Periodic Client Participation and Heterogeneous Data: A New Communication-Efficient Algorithm and Analysis

Autori: Crawshaw, Michael Liu, Mingrui

Predmety: FOS: Computer and information sciences, Computer Science - Machine Learning, Computer Science - Distributed, Parallel, and Cluster Computing, Distributed, Parallel, and Cluster Computing (cs.DC), Machine Learning (cs.LG)

Prístupová URL adresa: http://arxiv.org/abs/2410.23131

A Communication-Efficient Algorithm for Federated Multilevel Stochastic Compositional Optimization

Autori: Yang, Shuoguang Li, Fengpei

Témy: Communication efficient, Distributed optimization, Multilevel stochastic compositional optimization, Article

URL: http://repository.hkust.edu.hk/ir/Record/1783.1-138800
https://doi.org/10.1109/TSP.2024.3392351
http://lbdiscover.ust.hk/uresolver?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rfr_id=info:sid/HKUST:SPI&rft.genre=article&rft.issn=1053-587X&rft.volume=72&rft.issue=&rft.date=2024&rft.spage=2333&rft.aulast=Yang&rft.aufirst=Shuoguang&rft.atitle=A+Communication-Efficient+Algorithm+for+Federated+Multilevel+Stochastic+Compositional+Optimization&rft.title=IEEE+Transactions+on+Signal+Processing
http://www.scopus.com/record/display.url?eid=2-s2.0-85191346341&origin=inward
http://gateway.isiknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=LinksAMR&SrcApp=PARTNER_APP&DestLinkType=FullRecord&DestApp=WOS&KeyUT=001224404600001

GR-ADMM: A Communication Efficient Algorithm Based on ADMM

Autori: Xin Huang Guozheng Wang Yongmei Lei

Zdroj: 2021 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom). :220-227

Predmety: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

GLASU: A Communication-Efficient Algorithm for Federated Learning with Vertically Distributed Graph Data

Autori: Zhang, Xinwei Hong, Mingyi Chen, Jie

Témy: Computer Science - Machine Learning, Statistics - Machine Learning, text

URL: http://arxiv.org/abs/2303.09531

M22: A Communication-Efficient Algorithm for Federated Learning Inspired by Rate-Distortion

Autori: Liu, Yangyi Rini, Stefano Salehkalaibar, Sadaf a ďalší

Témy: Computer Science - Machine Learning, Computer Science - Distributed, Parallel, and Cluster Computing, Computer Science - Information Theory, text

URL: http://arxiv.org/abs/2301.09269

A Communication-Efficient Algorithm for Exponentially Fast Non-Bayesian Learning in Networks

Autori: Aritra Mitra Shreyas Sundaram John A. Richards

Zdroj: 2019 IEEE 58th Conference on Decision and Control (CDC). :8347-8352

Predmety: FOS: Computer and information sciences, Computer Science - Machine Learning, 0209 industrial biotechnology, 0203 mechanical engineering, Computer Science - Information Theory, Information Theory (cs.IT), FOS: Electrical engineering, electronic engineering, information engineering, Systems and Control (eess.SY), 02 engineering and technology, Electrical Engineering and Systems Science - Systems and Control, Machine Learning (cs.LG)

Prístupová URL adresa: http://arxiv.org/pdf/1909.01505
http://arxiv.org/abs/1909.01505
http://dblp.uni-trier.de/db/journals/corr/corr1909.html#abs-1909-01505
https://dblp.uni-trier.de/db/journals/corr/corr1909.html#abs-1909-01505

Fast and Communication-Efficient Algorithm for Distributed Support Vector Machine Training

Autori: Jyotikrishna Dass Vivek Sarin Rabi N. Mahapatra

Zdroj: IEEE Transactions on Parallel and Distributed Systems. 30:1065-1076

Predmety: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Prístupová URL adresa: https://dblp.uni-trier.de/db/journals/tpds/tpds30.html#DassSM19
https://ieeexplore.ieee.org/document/8526323

A Communication-efficient Algorithm with Linear Convergence for Federated Minimax Learning

Autori: Sun, Zhenyu Wei, Ermin

Predmety: FOS: Computer and information sciences, Computer Science - Machine Learning, Computer Science - Distributed, Parallel, and Cluster Computing, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, Distributed, Parallel, and Cluster Computing (cs.DC), 01 natural sciences, 0105 earth and related environmental sciences, Machine Learning (cs.LG)

Prístupová URL adresa: http://arxiv.org/abs/2206.01132

Memory and communication efficient algorithm for decentralized counting of nodes in networks

Autori: Saha, Arindam Marshall, James A. R. Reina, Andreagiovanni

Zdroj: PloS one, 16 (11

Témy: Sciences de l'ingénieur, info:eu-repo/semantics/article, info:ulb-repo/semantics/articlePeerReview, info:ulb-repo/semantics/openurl/article

URL: https://dipot.ulb.ac.be/dspace/bitstream/2013/336285/1/doi_319929.pdf
http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/336285
http://worldcat.org/search?q=on:EQY+http://difusion-oai.ulb.ac.be/oai/request+DCG_ENTIRE_REPOSITORY+CNTCOLL

Memory and communication efficient algorithm for decentralized counting of nodes in networks.

Autori: Arindam Saha James A R Marshall Andreagiovanni Reina

Zdroj: PLoS ONE, Vol 16, Iss 11, p e0259736 (2021)

Predmety: Medicine, Science

Popis súboru: electronic resource

Relation: https://doaj.org/toc/1932-6203

Prístupová URL adresa: https://doaj.org/article/b588b1166feb4d3498d9280a7ad77f70

Decentralized and Collaborative Subspace Pursuit: A Communication-Efficient Algorithm for Joint Sparsity Pattern Recovery With Sensor Networks

Autori: Thakshila Wimalajeewa Gang Li Pramod K. Varshney

Zdroj: IEEE Transactions on Signal Processing. 64:556-566

Predmety: FOS: Computer and information sciences, Computer Science - Information Theory, Information Theory (cs.IT), 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Prístupová URL adresa: http://arxiv.org/pdf/1404.3394
http://arxiv.org/abs/1404.3394

A memory and communication efficient algorithm for decentralized counting of nodes in networks

Autori: Saha, Arindam Marshall, James A. R. Reina, Andreagiovanni

Témy: Computer Science - Distributed, Parallel, and Cluster Computing, text

URL: http://arxiv.org/abs/1912.06802

A Communication-Efficient Algorithm for Exponentially Fast Non-Bayesian Learning in Networks

Autori: Mitra, Aritra Richards, John A. Sundaram, Shreyas

Témy: Electrical Engineering and Systems Science - Systems and Control, Computer Science - Information Theory, Computer Science - Machine Learning, text

URL: http://arxiv.org/abs/1909.01505

Communication-efficient Algorithm for Distributed Sparse Learning via Two-way Truncation

Autori: Ren, Jineng Haupt, Jarvis

Predmety: FOS: Computer and information sciences, Computer Science - Machine Learning, Statistics - Machine Learning, Optimization and Control (math.OC), 0202 electrical engineering, electronic engineering, information engineering, FOS: Mathematics, Machine Learning (stat.ML), 02 engineering and technology, Mathematics - Optimization and Control, Machine Learning (cs.LG)

Prístupová URL adresa: http://arxiv.org/abs/1709.00537

Decentralized and Collaborative Subspace Pursuit: A Communication-Efficient Algorithm for Joint Sparsity Pattern Recovery with Sensor Networks

Autori: Li, Gang Wimalajeewa, Thakshila Varshney, Pramod K.

Témy: Computer Science - Information Theory, text

URL: http://arxiv.org/abs/1404.3394

Parallel Weighted Random Sampling

Autori: Lorenz Hübschle-Schneider Peter Sanders Lorenz Hübschle-Schneider and Peter Sanders

Prispievatelia: Lorenz Hübschle-Schneider Peter Sanders Lorenz Hübschle-Schneider and Peter Sanders

Zdroj: ACM Transactions on Mathematical Software. 48:1-40

Predmety: ddc:004, PRAM, FOS: Computer and information sciences, alias method, DATA processing & computer science, 0102 computer and information sciences, 02 engineering and technology, categorical distribution, reservoir sampling, 01 natural sciences, Computer Science - Distributed, Parallel, and Cluster Computing, parallel algorithm, Computer Science - Data Structures and Algorithms, multinoulli distribution, 0202 electrical engineering, electronic engineering, information engineering, subset sampling, communication efficient algorithm, Data Structures and Algorithms (cs.DS), Distributed, Parallel, and Cluster Computing (cs.DC)

Popis súboru: application/pdf

Prístupová URL adresa: http://arxiv.org/abs/1903.00227
https://publikationen.bibliothek.kit.edu/1000097067
https://drops.dagstuhl.de/opus/volltexte/2019/11180/pdf/LIPIcs-ESA-2019-59.pdf/
https://drops.dagstuhl.de/opus/volltexte/2019/11180/
http://dblp.uni-trier.de/db/journals/corr/corr1903.html#abs-1903-00227
https://publikationen.bibliothek.kit.edu/1000097067/72597002
https://dblp.uni-trier.de/db/journals/corr/corr1903.html#abs-1903-00227
https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ESA.2019.59

A Communication-Efficient Algorithm for Federated Multilevel Stochastic Compositional Optimization_supp1-3392351.pdf

Autori: LI, FENGPEI

Dostupnosť: https://doi.org/10.1109/tsp.2024.3392351/mm1