Logistic regression modeling scheme using secrete sharing
US10600006B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 20, 2019 |
| Grant date | Mar 24, 2020 |
| Priority date | — |
| Expiry date | Jun 20, 2039 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L2209/46
- WIPO fieldDigital communication
- 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) by using secrete sharing (secret sharing) techniques. One of the methods includes dividing sample training data for a secure logistic regression model (SLRM) into a plurality of shares using secret sharing (SS), wherein each share is distributed to a secure computation node (SCN); iteratively updating parameters associated with the SLRM using each share of the sample training data, wherein the iterative updating continues until the occurrence of a predetermined condition; and after iteratively updating the parameters associated with the SLRM, outputting a training result configured for use by each SCN.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.