USING PROXIES TO ENABLE ON-DEVICE MACHINE LEARNING
    1.
    发明申请
    USING PROXIES TO ENABLE ON-DEVICE MACHINE LEARNING 审中-公开
    使用代理来启用设备上的机器学习

    公开(公告)号:WO2018017423A1

    公开(公告)日:2018-01-25

    申请号:PCT/US2017/042215

    申请日:2017-07-14

    Applicant: APPLE INC.

    CPC classification number: G06N20/00 G06N5/04

    Abstract: Systems and methods are disclosed for a server generating a plurality of proxy prediction models for each of a plurality of applications for use by client devices. Providing a prediction model based on a data distribution that more closely matches the user private data of the actual user of the client device, as opposed to a generic model, can improve the accuracy of predictions and improve the benefits to the user of the client device. The plurality of prediction models are generated by a server and provided to a plurality of clients. For a particular application, a client device can use previously collected private user data to select one of the plurality of prediction models for the application as being a closest matching prediction model to use for a particular user.

    Abstract translation: 公开了系统和方法,用于服务器为多个客户端设备使用的多个应用中的每一个产生多个代理预测模型。 基于更接近匹配客户端设备的实际用户的用户私人数据的数据分布提供预测模型,与通用模型相反,可以提高预测的准确性并改善客户端设备的用户的益处 。 多个预测模型由服务器生成并提供给多个客户端。 对于特定的应用,客户端设备可以使用先前收集的私人用户数据来选择用于该应用的多个预测模型中的一个,作为用于特定用户的最接近的匹配预测模型。

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