Distributed multi-party security model training framework for privacy protection
US10630468B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 21, 2019 |
| Grant date | Apr 21, 2020 |
| Priority date | — |
| Expiry date | Jun 21, 2039 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L2209/46
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for training a multi-party secure logistic regression model (SLRM). One of the methods includes receiving, at a plurality of secure computation nodes (SCNs), a plurality of random numbers from a random number provider; encrypting, at each SCN, data stored at the SCN using the received random numbers; iteratively updating a secure logistic regression model (SLRM) by using the encrypted data from each SCN; and after iteratively updating the SLRM, outputting a result of the SLRM, wherein the result is configured to enable a service to be performed by each SCN.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.