Federated learning service in a provider network and training machine learning models using devices external to the provider network
US12061956B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 29, 2020 |
| Grant date | Aug 13, 2024 |
| Priority date | — |
| Expiry date | Jun 15, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F11/3692
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Techniques for utilizing a federated learning service are described. An exemplary method includes causing a development of a deployable machine learning model using at least two devices, the development of the deployable machine learning model including: providing an initial machine learning model or algorithm to the at least two devices external to the provider network, causing each of the at least two devices external to the provider network to locally train the initial machine learning model or algorithm using training data to each generate a modified version of the initial machine learning model, determining updates between the initial model and the generated modified versions of the initial machine learning model, and applying the determined updates to the initial model to generate the candidate machine learning model.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.