Pruning-Assisted Vehicular Federated Learning for CNN Training under Mobility-Aware Constraints
Vehicular federated learning (VFL) has been widely adopted for collaborative edge training in vehicular networks to exploit massive onboard data while preserving data privacy and security. The dynamic nature of VFL training results in inconsistent client participation and unreliable timely model uploads due to vehicula...