Systems and methods for providing a privacy-preserving training approach in blind learning with secure enclaves
US11509470B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | May 13, 2022 |
| Grant date | Nov 22, 2022 |
| Priority date | — |
| Expiry date | May 13, 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 a privacy-preserving training approach for split learning methods, including blind learning. A method includes receiving, at a server device, encrypted smashed data from a client device, using a secure enclave on the server device, moving, on the server device, a server model, the encrypted smashed data and computer code for a blind learning operation into the secure enclave, performing, in the secure enclave, forward propagation using the decrypted smashed data to generate predicted values, comparing the predicted values to true labels using a loss function to yield a loss value, repeating the comparing step for all smashed data received at the server device from a plurality of clients to yield a plurality of loss values, averaging the plurality of loss values to yield an average loss value, updating model weights of the server model using the average loss value to yield gradients of the smashed data and transmitting the gradients of the smashed data to the client device.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.