Work

EPFL: Toward Elastic Personalized Federated Learning With Seamless Client Joining and Quitting

Year: 2025

Type: article

Source: IEEE Transactions on Systems Man and Cybernetics Systems

DOI: 10.1109/tsmc.2025.3613624

Authors: Yuange Liu, Daobin Luo, Weishan Zhang, Wei Jiang, Chaoqun Zheng, Xiaohui Sun, Yuru Liu, Qiao Qiao, Tao Chen, Hongwei Zhao, Su Yang, Fei-Yue Wang

Institutions: China University of Petroleum, East China, China Electronics Technology Group Corporation, Qilu University of Technology, Shandong Academy of Sciences, Fudan University, Chinese Academy of Sciences, Institute of Automation

Language: English

Topic: Privacy-Preserving Technologies in Data

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funders: National Natural Science Foundation of China, Natural Science Foundation of Shandong Province

Awards: G4177915453, G723534781

OpenAlex ID: W7084978880

FWCI: 0.816

Cites: 25

Cited by: 2

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