Communication Resources Constrained Hierarchical Federated Learning for End-to-End Autonomous Driving

1 code implementation • 28 Jun 2023 • Wei-Bin Kou, Shuai Wang, Guangxu Zhu, Bin Luo, Yingxian Chen, Derrick Wing Kwan Ng, Yik-Chung Wu

While federated learning (FL) improves the generalization of end-to-end autonomous driving by model aggregation, the conventional single-hop FL (SFL) suffers from slow convergence rate due to long-range communications among vehicles and cloud server.

Autonomous Driving Federated Learning