中文版 | English
Title

A Bayesian Federated Learning Framework with Online Laplace Approximation

Author
Publication Years
2023
DOI
Source Title
ISSN
1939-3539
VolumePPIssue:99Pages:1-16
Keywords
URL[Source Record]
SUSTech Authorship
First
ESI Research Field
ENGINEERING
Data Source
IEEE
PDF urlhttps://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10274722
Citation statistics
Cited Times [WOS]:0
Document TypeJournal Article
Identifierhttp://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 AffilicationSouthern University of Science and Technology
First Author's First AffilicationSouthern 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.
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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