CPPer-FL: Clustered Parallel Training for Efficient Personalized Federated Learning

Magazine article

Peer reviewed

Ran Zhang, Fangqi Liu, Jiang Liu, Mingzhe Chen, Qinqin Tang, Tao Huang and F. Richard Yu

IEEE transactions on mobile computing, Vol.23(10), pp.9424-9436

2024-10-01

Abstract

Communication and training efficient federated learning

parallel model synchronization and updating

personalized federated learning

similarity clustering

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Title: CPPer-FL: Clustered Parallel Training for Efficient Personalized Federated Learning
Creators: Ran Zhang - Purple Mountain Laboratories
Fangqi Liu - Beijing University of Posts and Telecommunications
Jiang Liu - Beijing University of Posts and Telecommunications
Mingzhe Chen - University of Miami
Qinqin Tang - Beijing University of Posts and Telecommunications
Tao Huang - Beijing University of Posts and Telecommunications
F. Richard Yu - Carleton University
Publication Details: IEEE transactions on mobile computing, Vol.23(10), pp.9424-9436
Number of pages: 13
Grant note: 62201077 / National Natural Science Foundation of China (501100001809) Excellent Young Scientists Fund (http://data.elsevier.com/vocabulary/SciValFunders/501100010909) National Natural Science Foundation of China (http://data.elsevier.com/vocabulary/SciValFunders/501100001809) 62201077 / National Natural Science Foundation of China (http://data.elsevier.com/vocabulary/SciValFunders/501100001809)
Academic Unit: CoE - Electrical & Computer Engineering; College of Engineering
Language: English
Resource Type: Magazine article
Record Identifier: 991032795954302976