Invention Grant
- Patent Title: Statistical data learning under privacy constraints
- Patent Title (中): 隐私限制下的统计数据学习
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Application No.: US13666066Application Date: 2012-11-01
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Publication No.: US09037520B2Publication Date: 2015-05-19
- Inventor: Aharon Bar Hillel , Ron M. Hecht , Nadav Lavi
- Applicant: General Motors LLC
- Applicant Address: US MI Detroit
- Assignee: GM GLOBAL TECHNOLOGY OPERATIONS, LLC.
- Current Assignee: GM GLOBAL TECHNOLOGY OPERATIONS, LLC.
- Current Assignee Address: US MI Detroit
- Agency: Leydig, Voit & Mayer, Ltd.
- Main IPC: G06N99/00
- IPC: G06N99/00 ; G10L15/197 ; G06F21/62

Abstract:
A computer-implemented method is provided for statistical data learning under privacy constraints. The method includes: receiving, by a processor, a plurality of pieces of statistical information relating to a statistical object and aggregating, by the processor, the plurality of pieces of statistical information so as to provide an estimation of the statistical object. Each piece of statistical information includes an uncertainty variable, the uncertainty variable being a value determined from a function having a predetermined mean. The number of pieces of statistical information aggregated is proportional to the reliability of the estimation of the statistical object.
Public/Granted literature
- US20140122385A1 Statistical Data Learning Under Privacy Constraints Public/Granted day:2014-05-01
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