Mobility-Aware Federated Learning Considering Multiple Networks

Mobility-Aware Federated Learning Considering Multiple Networks

Federated learning (<i>FL</i>) is a distributed training method for machine learning models (<i>ML</i>) that maintain data ownership on users. However, this distributed training approach can lead to variations in efficiency due to user behaviors or characteristics. For instan...

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Bibliographic Details
Main Authors:	Daniel Macedo, Danilo Santos, Angelo Perkusich, Dalton C. G. Valadares
Format:	Article
Language:	English
Published:	MDPI AG 2023-07-01
Series:	Sensors
Subjects:	machine learning distributed learning federated learning mobility
Online Access:	https://www.mdpi.com/1424-8220/23/14/6286

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