Energy-Efficient Federated Learning for Internet of Things: Leveraging In-Network Processing and Hierarchical Clustering

Energy-Efficient Federated Learning for Internet of Things: Leveraging In-Network Processing and Hierarchical Clustering

Federated learning (FL) has emerged as a promising solution for the Internet of Things (IoT), facilitating distributed artificial intelligence while ensuring communication efficiency and data privacy. Traditional methods involve transmitting raw sensory data from IoT devices to servers or base-stati...

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Bibliographic Details
Main Author: M. Baqer
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Future Internet
Subjects:
federated learning
internet of things
sensor networks
artificial intelligence
machine learning
distributed learning
Online Access:https://www.mdpi.com/1999-5903/17/1/4
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