{
  "$type": "site.standard.document",
  "description": "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…",
  "path": "/patents/1389429",
  "publishedAt": "2026-06-11T00:00:00.000Z",
  "site": "at://did:plc:oql6ds5vnff4ugar6rruliwd/site.standard.publication/3mn3ohu7oxx5w",
  "tags": [
    "B60W50/0098",
    "TOYOTA MOTOR ENGINEERING & MANUFACTURING NORTH AMERICA, INC."
  ],
  "textContent": "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.",
  "title": "RANGE ESTIMATING USING CLUSTERED FEDERATED LEARNING"
}