EPFed: Achieving Optimal Balance between Privacy and Efficiency in Federated Learning
Federated learning (FL) is increasingly challenged by security and privacy concerns, particularly vulnerabilities exposed by malicious participants. There remains a gap in effectively countering threats such as model inversion and poisoning attacks in existing research. To address these challenges,...
Main Authors: | Dong Mao, Qiongqian Yang, Hongkai Wang, Zuge Chen, Chen Li, Yubo Song, Zhongyuan Qin |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2024-03-01
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Series: | Electronics |
Subjects: | |
Online Access: | https://www.mdpi.com/2079-9292/13/6/1028 |
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