Janus: Dual-Sided Communication and Privacy Optimization for Federated Learning in Autonomous Vehicles
Federated Learning (FL) enables collaborative model training across autonomous vehicles (AVs) without sharing raw driving data, but excessive uplink/downlink communication over bandwidth-constrained vehicular-to-everything links and privacy leakage through gradient inversion attacks limit its deployment. This paper pro...