Enhanced Privacy Federated Learning System

    公开(公告)号:US20220083911A1

    公开(公告)日:2022-03-17

    申请号:US17423695

    申请日:2019-01-18

    Abstract: A user equipment includes a processor configured to download a master machine learning model for generating a user recommendation related to use of an application of the user equipment, calculate a model update for the master machine learning model using the master machine learning model and data related to one or more of a user of the user equipment or a user interaction with the user equipment, encode the calculated model update using an ε-differential privacy mechanism and transmit the ε-differential privacy encoded model update.

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