Minimal trust data sharing
US11188827B1 · kind B1 · utility
Assignee
Inventor
Key dates
| Filing date | Jun 3, 2019 |
| Grant date | Nov 30, 2021 |
| Priority date | — |
| Expiry date | Jul 1, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A computer-implemented method of creating synthetic training data records for machine learning, comprising a source computer system operatively connected to a separate target computer system, where the target system comprises real data records, the contents of which are not known to the source computer system. The source computer system comprises the generator component of a generative adversarial network (GAN) and the target computer system comprises a discriminator component of the GAN. The source computer system generates one or more synthetic training records using a computational process that does not reveal contents of the real data records. Also disclosed is a method of training a machine-learning model using the one or more synthetic training records.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.