Federated Learning for a Dynamic Edge: A Modular and Resilient Approach

Federated Learning for a Dynamic Edge: A Modular and Resilient Approach

The increasing demand for distributed machine learning like Federated Learning (FL) in dynamic, resource-constrained edge environments, 5G/6G networks, and the proliferation of mobile and edge devices, presents significant challenges related to fault tolerance, elasticity, and communication efficien...

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Bibliographic Details
Main Authors: Leonardo Almeida, Rafael Teixeira, Gabriele Baldoni, Mário Antunes, Rui L. Aguiar
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Sensors
Subjects:
federated learning
resilient
fault tolerant
distributed machine learning
Online Access:https://www.mdpi.com/1424-8220/25/12/3812
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