Federated learning based on asynchronous and adjusted client training

Machine learning in small-scale unmanned aerial vehicle (UAV) deployment fails to accomplish complex missions of swarm intelligence. Federated learning (FL) tackles it by being able to handle large-scale learning, while keeping data private. The client data distribution involved in FL is often non-i...

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Bibliographic Details

Published in:	Physical communication Vol. 61; p. 102164
Main Authors:	Dai, Mingjun, Zhao, Yinglin, Yuan, Jialong, Kianoush, Sanaz, Savazzi, Stefano, Li, Bingchun
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.12.2023
Subjects:	Asynchronous algorithm Client training adjustment Federated learning Imbalance Non-IID Client training adjustment Federated learning Imbalance Asynchronous algorithm Non-IID
ISSN:	1874-4907, 1876-3219
Online Access:	Get full text
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