RANGE ESTIMATING USING CLUSTERED FEDERATED LEARNING

An example operation includes one or more of performing by at least one processor on a first vehicle, processing a first Vehicle Artificial Intelligence (VAI) model, a first region associated with the first vehicle, and a received off-vehicle Regional Artificial Intelligence (RAI) model configured to aggregate the first VAI model associated with the first region, transmitting the first VAI model to the off-vehicle RAI model, and responding to a vehicle range estimate, by the first VAI model, by at least one of: changing speed, changing direction, changing acceleration, continuing with no changes, or updating an infotainment system of the first vehicle.