Yuxuan Sun

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 rapidly varying channe...