Communication-Efficient Private Federated Reinforcement Learning with Post-Quantum Authentication for Vehicular Networks

Federated reinforcement learning supports cooperative vehicular routing without centralizing trajectory data, but model updates may reveal private information and incur communication overhead over intermittent vehicle-to-infrastructure links, particularly when post-quantum authentication is required