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...

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Bibliografiska uppgifter

Huvudupphov:	Wenbo Zhang, Yuchen Zhao, Fangjing Li, Hongbo Zhu
Materialtyp:	Artigo
Språk:	Inglês
Utgiven:	MDPI AG 2023-05-01
Serie:	Applied Sciences
Ämnen:	federated learning edge computing efficient hierarchical aggregation FedDyn FedEdge
Länkar:	https://www.mdpi.com/2076-3417/13/9/5821
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