Invention Grant
- Patent Title: Machine learning using secured shared data
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Application No.: US18055248Application Date: 2022-11-14
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Publication No.: US11893462B2Publication Date: 2024-02-06
- 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: SE Stockholm
- Agency: Schwegman Lundberg & Woessner, P.A.
- Main IPC: G06N3/00
- IPC: G06N3/00 ; G06N20/00 ; G06F21/62 ; G06F16/25 ; G06F16/28 ; G06F18/214

Abstract:
Disclosed are systems, methods, and non-transitory computer-readable media for sharing, on a distributed database, a database application to a first user of the distributed database, the database application generated by a second user of the distributed database. The training dataset includes a first database training dataset from the first user of the distributed database and a second database training dataset from the second user of the distributed database, the first database training dataset and the second database training dataset including non-overlapping dataset features. The database application further identifies a query from the second user to train the machine learning model on the training dataset and generates a trained machine learning model by training the machine learning model on a joined dataset according to the query. The database application generates outputs from the trained machine learning model by applying the trained machine learning model on new data.
Public/Granted literature
- US20230186160A1 MACHINE LEARNING USING SECURED SHARED DATA Public/Granted day:2023-06-15
Information query
IPC分类:
G | 物理 |
G06 | 计算;推算或计数 |
G06N | 基于特定计算模型的计算机系统 |
G06N3/00 | 基于生物学模型的计算机系统 |