Communication-Efficient Federated Learning with Adaptive Consensus ADMM

This paper proposes utilizing federated learning (FL), a distributed learning paradigm, to process large, decentralized, and heterogeneous edge data in the context of Internet of Things (IoT) devices. However, heterogeneity and high communication costs are two primary challenges that hinder the effi...

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Auteurs principaux:	Siyi He, Jiali Zheng, Minyu Feng, Yixin Chen
Format:	Artigo
Langue:	Inglês
Publié:	MDPI AG 2023-04-01
Collection:	Applied Sciences
Sujets:	Internet of Things (IoT) federated learning (FL) alternating direction method of multipliers (ADMM) communication efficiency
Accès en ligne:	https://www.mdpi.com/2076-3417/13/9/5270
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