Title | A Bayesian Federated Learning Framework with Online Laplace Approximation |
Author | |
Publication Years | 2023
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DOI | |
Source Title | |
ISSN | 1939-3539
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Volume | PPIssue:99Pages:1-16 |
Keywords | |
URL | [Source Record] |
SUSTech Authorship | First
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ESI Research Field | ENGINEERING
|
Data Source | IEEE
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PDF url | https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10274722 |
Citation statistics |
Cited Times [WOS]:0
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Document Type | Journal Article |
Identifier | http://kc.sustech.edu.cn/handle/2SGJ60CL/575784 |
Affiliation | 1.Southern University of Science and Technology, Shenzhen, China 2.Huazhong Agricultural University, Wuhan, China 3.Westlake University & OPPO Research, Bellevue, WA, USA 4.University of Maryland College Park, College Park, MD, USA 5.UCAS-Terminus AI Lab, University of Chinese Academy of Sciences, Beijing, China |
First Author Affilication | Southern University of Science and Technology |
First Author's First Affilication | Southern University of Science and Technology |
Recommended Citation GB/T 7714 |
Liangxi Liu,Xi Jiang,Feng Zheng,et al. A Bayesian Federated Learning Framework with Online Laplace Approximation[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence,2023,PP(99):1-16.
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APA |
Liangxi Liu.,Xi Jiang.,Feng Zheng.,Hong Chen.,Guo-Jun Qi.,...&Ling Shao.(2023).A Bayesian Federated Learning Framework with Online Laplace Approximation.IEEE Transactions on Pattern Analysis and Machine Intelligence,PP(99),1-16.
|
MLA |
Liangxi Liu,et al."A Bayesian Federated Learning Framework with Online Laplace Approximation".IEEE Transactions on Pattern Analysis and Machine Intelligence PP.99(2023):1-16.
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