Explore projects

This research is focused on handling the challenges of non-IID distributed data on autonomous vehicles by integrating Federated Learning. Compared to traditional centralized IDS, which requires centralized data processing, Federated Learning approach allows sensitive data to stay on the local devices, since FL requires only model updates for aggregation and averaging purposes.