Federated Learning for IoT: A Survey of Techniques, Challenges, and Applications

Federated Learning (FL) has emerged as a pivotal approach for decentralized Machine Learning (ML), addressing the unique demands of the Internet of Things (IoT) environments where data privacy, bandwidth constraints, and device heterogeneity are paramount. This survey provides a comprehensive overvi...

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Bibliographic Details

Published in:	Journal of Sensor and Actuator Networks
Main Authors:	Elias Dritsas, Maria Trigka
Format:	Article
Language:	English
Published:	MDPI AG 2025-01-01
Subjects:	federated learning Internet of Things machine learning privacy-preserving communication efficiency
Online Access:	https://www.mdpi.com/2224-2708/14/1/9