Privacy enhanced machine learning

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United States of America Patent

PATENT NO 11366980
APP PUB NO 20210089819A1
SERIAL NO

16687095

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Abstract

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A method of selecting data for privacy preserving machine learning comprises: storing training data from a first party, storing a machine learning model, and storing criteria from the first party or from another party. The method comprises filtering the training data to select a first part of the training data to be used to train the machine learning model and select a second part of the training data. The selecting is done by computing a measure, using the criteria, of the contribution of the data to the performance of the machine learning model.

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Patent Owner(s)

  • MICROSOFT TECHNOLOGY LICENSING, LLC.

International Classification(s)

Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Ohrimenko, Olga Cambridge, GB 7 111
Tople, Shruti Shrikant Cambridge, GB 3 13
Tschiatschek, Sebastian Cambridge, GB 11 23

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