On-device machine learning platform
US11138517B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 11, 2017 |
| Grant date | Oct 5, 2021 |
| Priority date | — |
| Expiry date | May 14, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N5/04
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The present disclosure provides systems and methods for on-device machine learning. In particular, the present disclosure is directed to an on-device machine learning platform and associated techniques that enable on-device prediction, training, example collection, and/or other machine learning tasks or functionality. The on-device machine learning platform can include a context provider that securely injects context features into collected training examples and/or client-provided input data used to generate predictions/inferences. Thus, the on-device machine learning platform can enable centralized training example collection, model training, and usage of machine-learned models as a service to applications or other clients.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.