Towards Efficient Resource Allocation for Federated Learning in Virtualized Managed Environments

Towards Efficient Resource Allocation for Federated Learning in Virtualized Managed Environments

Federated learning (FL) is a transformative approach to Machine Learning that enables the training of a shared model without transferring private data to a central location. This decentralized training paradigm has found particular applicability in edge computing, where IoT devices and edge nodes of...

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Bibliographic Details
Main Authors:	Fotis Nikolaidis, Moysis Symeonides, Demetris Trihinas
Format:	Article
Language:	English
Published:	MDPI AG 2023-07-01
Series:	Future Internet
Subjects:	federated learning machine learning edge computing Internet of Things
Online Access:	https://www.mdpi.com/1999-5903/15/8/261

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