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USING PROXIES TO ENABLE ON-DEVICE MACHINE LEARNING

  • US 20180025287A1
  • Filed: 09/24/2016
  • Published: 01/25/2018
  • Est. Priority Date: 07/20/2016
  • Status: Active Grant
First Claim
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1. A computer-implemented method practiced on a client device, comprising:

  • collecting private user data on the client device to produce an initial data distribution for use with an application;

    performing a divergence estimate between the initial data distribution and corresponding data distributions of a set of proxy models;

    selecting a proxy model from the set of proxy models having a low divergence between the initial data distribution and a data distribution of the selected proxy model, the low divergence being below a threshold value; and

    associating the selected proxy model with the application such that the selected proxy model becomes a user predictive model for the application.

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