AI RESEARCH
Personalized Federated Distillation Assisted Vehicle Edge Caching Strategy
arXiv CS.LG
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ArXi:2512.09378v2 Announce Type: replace Vehicle edge caching is a promising technology that can significantly reduce the latency for vehicle users (VUs) to access content by pre-caching user-interested content at edge nodes. It is crucial to accurately predict the content that VUs are interested in without exposing their privacy. Traditional federated learning (FL) can protect user privacy by sharing models rather than raw data. However, the