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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https://www.mdpi.com/1424-8220/23/14/6286

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