Environment-specific training of machine learning models
US12423613B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 21, 2021 |
| Grant date | Sep 23, 2025 |
| Priority date | — |
| Expiry date | Jun 28, 2044 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N5/04
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method for environment-specific training of a machine learning model, comprises receiving, for a local environment, a data stream including a plurality of sequential data snippets. Programmed labels are generated for each data snippet using a student version of a machine learning model. A portion of data snippets and associated programmed labels are selected and uploaded to a server-side computing device for evaluation by a teacher version of the machine learning model. An environment-specific training update is received from the server-side computing device. This training update is based on a comparison of the selected programmed labels and pseudolabels generated for the selected portion of data snippets by the teacher version. The environment-specific training update is applied to the student version to generate an updated student version. The updated student version of the machine learning model is then used to generate programmed labels for newly received data snippets.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.