Systems and methods for blind vertical learning
US11743238B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 7, 2022 |
| Grant date | Aug 29, 2023 |
| Priority date | — |
| Expiry date | Sep 7, 2042 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L2209/46
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method of providing blind vertical learning includes creating, based on assembled data, a neural network having n bottom portions and a top portion and transmitting each bottom portion of then bottom portions to a client device. The training of the neural network includes accepting a, output from each bottom portion of the neural network, joining the plurality of outputs at a fusion layer, passing the fused outputs to the top portion of the neural network, carrying out a forward propagation step at the top portion of neural network, calculating a loss value after the forward propagation step, calculating a set of gradients of the loss value with respect to server-side model parameters and passing subsets of the set of gradients to a client device. After training, the method includes combining the trained bottom portion from each client device into a combined model.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.