Reducing Non-IID Effects in Federated Autonomous Driving with Contrastive Divergence Loss

Tuong Do, Binh X. Nguyen, Hien Nguyen +4

Federated learning has been widely applied in autonomous driving since it enables training a learning model among vehicles without sharing users' data. However, data from autonomou…