Data reproducibility using blockchains
US10270599B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 27, 2017 |
| Grant date | Apr 23, 2019 |
| Priority date | — |
| Expiry date | Oct 10, 2037 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L9/50
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
Data verification in federate learning is faster and simpler. As artificial intelligence grows in usage, data verification is needed to prove custody and/or control. Electronic data representing an original version of training data may be hashed to generate one or more digital signatures. The digital signatures may then be incorporated into one or more blockchains for historical documentation. Any auditor may then quickly verify and/or reproduce the training data using the digital signatures. For example, a current version of the training data may be hashed and compared to the digital signatures generated from the current version of the training data. If the digital signatures match, then the training data has not changed since its creation. However, if the digital signatures do not match, then the training data has changed since its creation. The auditor may thus flag the training data for additional investigation and scrutiny.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.