Janus: Dual-Sided Communication and Privacy Optimization for Federated Learning in Autonomous Vehicles
To the authors' knowledge, this is the first vehicular-FL evaluation combining joint uplink-downlink compression with genuine HE-based privacy, validated through real cryptography, real privacy attacks, statistical testing, cross-dataset and cross-modality generalisation, and a convergence guarantee.