Federated Learning (FL) is expected to play a prominent role for privacy-preserving machine learning (ML) in autonomous vehicles. FL involves the collaborative training of single ML model among edge devices on their distributed datasets while keeping data locally. While requires less communication compared classical learning, it remains hard scale large models. In vehicular networks, must be ad...