SAFA: A Semi-Asynchronous Protocol for Fast Federated Learning With Low Overhead

Federated learning (FL) has attracted increasing attention as a promising approach to driving a vast number of end devices with artificial intelligence. However, it is very challenging to guarantee the efficiency of FL considering the unreliable nature of end devices while the cost of device-server...

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Veröffentlicht in:	IEEE transactions on computers Jg. 70; H. 5; S. 655 - 668
Hauptverfasser:	Wu, Wentai, He, Ligang, Lin, Weiwei, Mao, Rui, Maple, Carsten, Jarvis, Stephen
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.05.2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Artificial intelligence Cognitive tasks Convergence Crashes Data models Distributed computing Distributed databases edge intelligence Efficiency Federated learning Machine learning Model accuracy Optimization Protocols Training
ISSN:	0018-9340, 1557-9956
Online-Zugang:	Volltext
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