Federated learning is a newly emerged distributed machine learning paradigm. where the clients are allowed to individually train local deep neural network (DNN) models with local data and then jointly aggregate a global DNN model at the central server. Vehicular edge computing (VEC) aims at exploiting the computation and communication resources at the edge of vehicular networks. Feder... https://www.roneverhart.com/Oakley-Sutro/