- Patent Title: Secure machine learning using shared data in a distributed database
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Application No.: US17644732Application Date: 2021-12-16
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Publication No.: US11501015B2Publication Date: 2022-11-15
- Inventor: Monica J. Holboke , Justin Langseth , Stuart Ozer , William L. Stratton, Jr.
- Applicant: Snowflake Inc.
- Applicant Address: US MT Bozeman
- Assignee: Snowflake Inc.
- Current Assignee: Snowflake Inc.
- Current Assignee Address: US MT Bozeman
- Agency: Schwegman Lundberg & Woessner, P.A.
- Main IPC: G06F21/62
- IPC: G06F21/62 ; G06F16/28 ; G06N20/00 ; G06K9/62 ; G06F16/25

Abstract:
A secure machine learning system of a database system can be implemented to use secure shared data to train a machine learning model. To manage the model, a first user of the database can share data in an encrypted view with a second user of the database, and further share one or more functions of an application that accesses the data while the data is encrypted. The second user can access functions of the application and can call the functions to generate a trained machine learning model and further generate machine learning outputs (e.g., predictions) from the trained model.
Public/Granted literature
- US20220292213A1 SECURE MACHINE LEARNING USING SHARED DATA IN A DISTRIBUTED DATABASE Public/Granted day:2022-09-15
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