A Hierarchical Federated Learning Algorithm Based on Time Aggregation in Edge Computing Environment

Federated learning is currently a popular distributed machine learning solution that often experiences cumbersome communication processes and challenging model convergence in practical edge deployments due to the training nature of its model information interactions. The paper proposes a hierarchica...

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	Wenbo Zhang, Yuchen Zhao, Fangjing Li, Hongbo Zhu
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	MDPI AG 2023-05-01
Schriftenreihe:	Applied Sciences
Schlagworte:	federated learning edge computing efficient hierarchical aggregation FedDyn FedEdge
Online-Zugang:	https://www.mdpi.com/2076-3417/13/9/5821
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