Systems and methods for secure averaging of models for federated learning and blind learning using secure multi-party computation
US11991156B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 7, 2022 |
| Grant date | May 21, 2024 |
| Priority date | — |
| Expiry date | Sep 7, 2042 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L2209/46
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A system and method are disclosed for providing an averaging of models for federated learning and blind learning systems. The method includes selecting, at a server, a generator g and a number p, transmitting, to at least two n client devices, the generator g and the number p, receiving, from each client device i of the at least two client devices, a respective value ki=gri mod p and transmitting the set of respective values ki to each client device i of the at least two client devices where respective added group of shares are generated on each client device i. The method includes receiving each respective added group of shares from each client device i of the at least two client devices and adding all the respective added group of shares to make a global sum of shares and dividing the global sum of shares by n.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.