METHOD AND SYSTEM FOR FEDERATED LEARNING TRAINING FOR A NEURAL NETWORK ASSOCIATED WITH AUTONOMOUS VEHICLES

    公开(公告)号:US20240256892A1

    公开(公告)日:2024-08-01

    申请号:US18159767

    申请日:2023-01-26

    IPC分类号: G06N3/098

    CPC分类号: G06N3/098

    摘要: A method includes receiving a first model and collecting sensor data acquired by a sensor on a first vehicle. The method also includes identifying a first data item from among the collected sensor data when the first data item is determined to satisfy a criterion. The method further include detecting an object contained in the identified first data item by running the first model with the identified first data item as input and establishing communication with a computer on a second vehicle located at equal to or less than a predetermined distance from the first vehicle. The method also includes receiving a second data item that is indicated as containing the object from the computer on the second vehicle and generating a training dataset. The method further includes training with respect to the first model on the training dataset and transmitting first data representing the trained first model.