Secure multi-user machine learning on a cloud data platform
US11989630B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 31, 2023 |
| Grant date | May 21, 2024 |
| Priority date | — |
| Expiry date | Jan 31, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F21/6245
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A system for providing access to a database management system (DBMS) to a first user of a cloud data platform, the DBMS being generated by a second user. A machine learning model for training on a training dataset is included in the DBMS. The training dataset includes a first training dataset that is encrypted in the DBMS and a second training dataset that includes non-overlapping features with the first training dataset. A request, from the second user, to train the machine learning model on the first and second training datasets is identified. A trained machine learning model is generated by training the machine learning model on a joined dataset according to the request. One or more outputs from the trained machine learning model are generated by applying the trained machine learning model on new data.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.