VREM-FL: Mobility-Aware Computation-Scheduling Co-Design for Vehicular Federated Learning

no code implementations • 30 Nov 2023 • Luca Ballotta, Nicolò Dal Fabbro, Giovanni Perin, Luca Schenato, Michele Rossi, Giuseppe Piro

In this domain, federated learning is one of the most effective and promising techniques for training global machine learning models, while preserving data privacy at the vehicles and optimizing communications resource usage.

Autonomous Driving Federated Learning +3