Federated Learning of Explainable AI Models in 6G Systems: Towards Secure and Automated Vehicle Networking

Federated Learning of Explainable AI Models in 6G Systems: Towards Secure and Automated Vehicle Networking

This article presents the concept of federated learning (FL) of eXplainable Artificial Intelligence (XAI) models as an enabling technology in advanced 5G towards 6G systems and discusses its applicability to the automated vehicle networking use case. Although the FL of neural networks has been widel...

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Bibliographic Details
Main Authors: Alessandro Renda, Pietro Ducange, Francesco Marcelloni, Dario Sabella, Miltiadis C. Filippou, Giovanni Nardini, Giovanni Stea, Antonio Virdis, Davide Micheli, Damiano Rapone, Leonardo Gomes Baltar
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Information
Subjects:
explainable artificial intelligence
federated learning
6G
vehicle-to-everything (V2X)
quality of service
quality of experience
Online Access:https://www.mdpi.com/2078-2489/13/8/395

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