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,...

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Bibliographic Details
Main Authors: Dong Mao, Qiongqian Yang, Hongkai Wang, Zuge Chen, Chen Li, Yubo Song, Zhongyuan Qin
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Electronics
Subjects:
Online Access:https://www.mdpi.com/2079-9292/13/6/1028

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