TECHNIQUES FOR MODIFYING MACHINE LEARNING MODELS USING IMPORTANCE WEIGHTS

    公开(公告)号:US20250106653A1

    公开(公告)日:2025-03-27

    申请号:US18818273

    申请日:2024-08-28

    Abstract: Methods, systems, and devices for wireless communication are described. A network node may calculate a set of weights for a first set of data associated with training a machine learning (ML) model in accordance with a first set of operating conditions for maintaining a communication link. Each weight of the set of weights may be associated with a respective datum of the first set of data and may be based on a probability that the respective datum is included in a second set of data. The second set of data may be associated with obtaining predictions using the machine learning model in accordance with a second set of operating conditions for maintaining the communication link. The network node may identify an event associated with the ML model and may output information indicative of the set of weights based on the event.

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