Asynchronous Robust Aggregation Method with Privacy Protection for IoV Federated Learning

Asynchronous Robust Aggregation Method with Privacy Protection for IoV Federated Learning

Due to the wide connection range and open communication environment of internet of vehicle (IoV) devices, they are susceptible to Byzantine attacks and privacy inference attacks, resulting in security and privacy issues in IoV federated learning. Therefore, there is an urgent need to study IoV feder...

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Bibliographic Details
Main Authors:	Antong Zhou, Ning Jiang, Tong Tang
Format:	Article
Language:	English
Published:	MDPI AG 2024-01-01
Series:	World Electric Vehicle Journal
Subjects:	federated learning parameter aggregation privacy protection internet of vehicles Byzantine attacker
Online Access:	https://www.mdpi.com/2032-6653/15/1/18

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