Efficient Differentially Private Tensor Factorization in the Parallel and Distributed Computing Paradigm
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| Titel: | Efficient Differentially Private Tensor Factorization in the Parallel and Distributed Computing Paradigm |
|---|---|
| Autoren: | Feng Zhang, Hao Wang, Ruixin Guo, Erkang Xue, Guangzhi Qu |
| Quelle: | 2023 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom). :375-380 |
| Verlagsinformationen: | IEEE, 2023. |
| Publikationsjahr: | 2023 |
| Publikationsart: | Article |
| DOI: | 10.1109/ispa-bdcloud-socialcom-sustaincom59178.2023.00081 |
| Rights: | STM Policy #29 |
| Dokumentencode: | edsair.doi...........e70cd8dce13e7b7f71e064a0acf8e6aa |
| Datenbank: | OpenAIRE |
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