Privatized machine learning using generative adversarial networks

    公开(公告)号:AU2019200896A1

    公开(公告)日:2019-08-22

    申请号:AU2019200896

    申请日:2019-02-08

    Applicant: APPLE INC

    Abstract: One embodiment provides for a mobile electronic device comprising a non-transitory machine readable medium to store instructions, the instructions to cause the mobile electronic device to receive a set of labeled data from a server; receive a unit of data from the server, the unit of data of a same type of data as the set of labeled data; determine a proposed label for the unit of data via a machine learning model on the mobile electronic device, the machine learning model to determine the proposed label for the unit of data based on the set of labeled data from the server and a set of unlabeled data associated with the mobile electronic device; encode the proposed label via a privacy algorithm to generate a privatized encoding of the proposed label; and transmit the privatized encoding of the proposed label to the server. 7:1c '*ei .7f. a)r

    Privatized machine learning using generative adversarial networks

    公开(公告)号:AU2019200896B2

    公开(公告)日:2021-01-21

    申请号:AU2019200896

    申请日:2019-02-08

    Applicant: APPLE INC

    Abstract: One embodiment provides for a mobile electronic device comprising a non-transitory machine readable medium to store instructions, the instructions to cause the mobile electronic device to receive a set of labeled data from a server; receive a unit of data from the server, the unit of data of a same type of data as the set of labeled data; determine a proposed label for the unit of data via a machine learning model on the mobile electronic device, the machine learning model to determine the proposed label for the unit of data based on the set of labeled data from the server and a set of unlabeled data associated with the mobile electronic device; encode the proposed label via a privacy algorithm to generate a privatized encoding of the proposed label; and transmit the privatized encoding of the proposed label to the server. 7:1c '*ei .7f. a)r

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