Unverified50% confidenceTradeoffExact time
Federated learning faces challenges: model updates may leak statistical features of training data through gradient inversion attacks, and large distribution differences across vehicle data can cause non-IID problems that lead to convergence difficulties or performance degradation.
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Long-term
Relevance
10/9/2026
First Seen
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