Invention Grant
- Patent Title: Distributed privacy-preserving computing
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Application No.: US17988664Application Date: 2022-11-16
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Publication No.: US11748633B2Publication Date: 2023-09-05
- Inventor: Rachael A. Callcut , Michael Blum , Joe Hesse , Robert D. Rogers , Scott Hammond , Mary Elizabeth Chalk
- Applicant: The Regents of the University of California
- Applicant Address: US CA Oakland
- Assignee: The Regents of the University of California
- Current Assignee: The Regents of the University of California
- Current Assignee Address: US CA Oakland
- Agency: Kilpatrick Townsend & Stockton LLP
- Main IPC: G06N5/02
- IPC: G06N5/02 ; G06F30/20 ; G06F21/53 ; G06F21/60 ; G06N20/00 ; G06F16/25 ; G06F21/62

Abstract:
The present disclosure relates to techniques for developing artificial intelligence algorithms by distributing analytics to multiple sources of privacy protected, harmonized data. Particularly, aspects are directed to a computer implemented method that includes receiving an algorithm and input data requirements associated with the algorithm, identifying data assets as being available from a data host based on the input data requirements, curating the data assets within a data storage structure that is within infrastructure of the data host, and integrating the algorithm into a secure capsule computing framework. The secure capsule computing framework serves the algorithm to the data assets within the data storage structure in a secure manner that preserves privacy of the data assets and the algorithm. The computer implemented method further includes running the data assets through the algorithm to obtain an inference.
Public/Granted literature
- US20230080780A1 DISTRIBUTED PRIVACY-PRESERVING COMPUTING ON PROTECTED DATA Public/Granted day:2023-03-16
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