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...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Physical communication Jg. 61; S. 102164
Hauptverfasser:	Dai, Mingjun, Zhao, Yinglin, Yuan, Jialong, Kianoush, Sanaz, Savazzi, Stefano, Li, Bingchun
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.12.2023
Schlagworte:	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-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!