Reputation-Aware Federated Learning Client Selection Based on Stochastic Integer Programming

Federated Learning(FL) has attracted wide research interest due to its potential in building machine learning models while preserving users' data privacy. However, due to the distributive nature of FL, it is vulnerable to misbehavior from participating worker nodes. Thus, it is important to sel...

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Veröffentlicht in:	IEEE transactions on big data Jg. 10; H. 6; S. 953 - 964
Hauptverfasser:	Tan, Xavier, Ng, Wei Chong, Lim, Wei Yang Bryan, Xiong, Zehui, Niyato, Dusit, Yu, Han
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 01.12.2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Biological system modeling client selection Clients Computational modeling Costs Data models Federated learning Integer programming Machine learning reputation stochastic integer programming Stochastic processes Training Uncertainty
ISSN:	2332-7790, 2372-2096
Online-Zugang:	Volltext
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