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Resilient Federated Learning for Vehicular Networks: A Digital Twin and Blockchain-Empowered Approach

Federated learning (FL) is a foundational technology for enabling collaborative intelligence in vehicular edge computing (VEC). However, the volatile network topology caused by high vehicle mobility and the profound security risks of model poisoning attacks severely undermine its practical deploymen...

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Principais autores: Jian Li, Chuntao Zheng, Ziyao Chen
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI AG 2025-11-01
coleção:Future Internet
Assuntos:
vehicular edge computing (VEC)
federated learning
digital twin
blockchain
security
incentive mechanism
Acesso em linha:https://www.mdpi.com/1999-5903/17/11/505
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