BDFL: A Byzantine-Fault-Tolerance Decentralized Federated Learning Method for Autonomous Vehicle

Autonomous Vehicles ($AV$s) take advantage of Machine Learning (ML) for yielding improved experiences of self-driving. However, large-scale collection of $AV$s’ data for training will inevitably result in a privacy leakage problem. Federated Learning (FL) is...