METHOD, APPARATUS AND COMPUTER PROGRAM

    公开(公告)号:US20250168658A1

    公开(公告)日:2025-05-22

    申请号:US18939723

    申请日:2024-11-07

    Abstract: Privacy auditing by storing a dataset comprising first data and second data for at least one User Equipment; storing ground truth labels for the first data and the second data; sending information based on the dataset to a network function; receiving, from the network function, information for determining a first value of a loss function; receiving, from the network function, information for determining a second value of the loss function; determining a difference between the first value of the loss function and the second value of the loss function; comparing the difference to a threshold to determine whether a Differential Privacy mechanism was applied to the first data before the network function trained the machine learning model based on the first data.

    METHOD FOR COLLABORATIVE MACHINE LEARNING
    2.
    发明公开

    公开(公告)号:US20240303548A1

    公开(公告)日:2024-09-12

    申请号:US18593496

    申请日:2024-03-01

    CPC classification number: G06N20/00 G06F21/602

    Abstract: A system comprising: at least one training unit for one or more data owners collaborating to the system for storing private data and at least one encrypted model, said training unit being implemented as a trusted execution environment; at least one aggregator unit for each model owner collaborating to the system for storing and executing code of a training algorithm, said aggregator unit being implemented as a trusted execution environment; at least one administration unit for controlling communication and synchronization between the at least one training unit and the at least one aggregator unit, said administration unit being implemented as a trusted execution environment; wherein the communication between the at least one training unit and the at least one aggregator unit is encrypted.

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