Mobility-Aware Vehicle Selection and Bandwidth Allocation for Federated Learning in Vehicular Networks: An HPPO Approach
Federated learning (FL) has emerged as a promising paradigm for enabling distributed model training in vehicular networks while keeping raw data local. However, the dynamic mobility of vehicles and the limited spectrum resources create critical challenges for efficient FL execution. In particular, due to the high mobil...