Horizontally-scalable data de-identification
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United States of America Patent
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Sep 10, 2024
Grant Date -
Feb 16, 2023
app pub date -
Nov 3, 2022
filing date -
Nov 3, 2022
priority date (Note) -
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Abstract
A method receives data from a data source. The method generates a plurality of generalizations of the data. The method sends the plurality of generalizations of the data to a plurality of execution nodes, wherein each of the plurality of execution nodes includes computational resources to compute a candidate generalization using an information loss scoring function. The method receives a candidate generalization from each of the plurality of execution nodes. The method selects a preferred generalization from the plurality of candidate generalizations. The method generates an anonymized view of the data set using the preferred generalization.
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