Secure machine learning using shared data in a distributed database
US11501015B2 · kind B2 · utility
2Cited by
2References
20Claims
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Key dates
| Filing date | Dec 16, 2021 |
| Grant date | Nov 15, 2022 |
| Priority date | — |
| Expiry date | Dec 16, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F21/6245
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
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.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.