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FedPGT: Progressive Gradient Transmission for Vehicular Federated Learning over Time-Varying Channels
Vehicular federated learning (VFL) enables privacy-preserving collaborative model training for intelligent transportation systems, where communication resource allocation and gradient sparsification techniques have been explored to reduce communication overhead. However, vehicle mobility leads to ra
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