FREEWAY

develops an Asynchronous Federated Learning framework to improve vehicle operation analytics for diverse fleets of commercial EVs, tackling scalability, connectivity, and efficiency. By combining edge computing and MLOps, it focuses on real-time energy forecasting, activity recognition, and anomaly detection while ensuring data privacy. The consortium includes Volvo Trucks, Swedish research institutes, and SMEs.