Using Homomorphic Proxy Re-Encryption to Enhance Security and Privacy of Federated Learning-Based Intelligent Connected Vehicles

Using Homomorphic Proxy Re-Encryption to Enhance Security and Privacy of Federated Learning-Based Intelligent Connected Vehicles

Intelligent connected vehicles (ICVs) are one of the fast-growing directions that plays a significant role in the area of autonomous driving. To realize collaborative computation among ICVs, federated learning (FL) or federated-based large language model (FedLLM) as a promising distributed approach...

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Bibliographic Details
Main Authors: Yang Bai, Yutang Rao, Hongyan Wu, Juan Wang, Wentao Yang, Gaojie Xing, Jiawei Yang, Xiaoshu Yuan
Format: Article
Language:English
Published: Wiley 2025-01-01
Series:IET Information Security
Online Access:http://dx.doi.org/10.1049/ise2/4632786
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