Invention Publication
- Patent Title: MULTI-PARTY MACHINE LEARNING USING A DATABASE CLEANROOM
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Application No.: US18162695Application Date: 2023-01-31
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Publication No.: US20230409968A1Publication Date: 2023-12-21
- Inventor: Orestis Kostakis , Justin Langseth
- Applicant: Snowflake Inc.
- Applicant Address: US MT Bozeman
- Assignee: Snowflake Inc.
- Current Assignee: Snowflake Inc.
- Current Assignee Address: US MT Bozeman
- Main IPC: G06N20/00
- IPC: G06N20/00

Abstract:
A method includes installing, in a consumer database account, a shared-instance database that includes a shared instance of a provider-account database that resides in a provider database account. The shared-instance database includes a first schema that includes provider-account training data, provider-account scoring data, a training function, and a scoring function. The method also includes invoking the training function from the consumer database account, which results in creation in the consumer database account of a second schema that includes a machine-learning-model instance of a machine learning model, and which also results in training the machine-learning model instance with at least the provider-account training data. Additionally, the method includes generating consumer-account scoring data by inputting, into the trained machine-learning-model instance, consumer-account input data that is stored in the consumer database account. The method also includes storing the consumer-account scoring data in the consumer database account.
Public/Granted literature
- US12020128B2 Multi-party machine learning using a database cleanroom Public/Granted day:2024-06-25
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