Updating models with trained model update objects
US11887583B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 9, 2021 |
| Grant date | Jan 30, 2024 |
| Priority date | — |
| Expiry date | Jul 15, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L15/16
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Some devices may perform processing using machine learning models trained at a centralized system and distributed to the device. The centralized system may update the machine learning model and distribute the update to the device (or devices). To reduce the size of an update, the centralized system may train a model update object, which may be smaller in size than the model itself and thus more suitable for sending to the device(s). A device may receive the model update object and use it to update the on-device machine learning model; for example, by changing some parameters of the model. Parameters left unchanged during the update may retain their previous value. Thus, using the model update object to update the on-device model may result in a more accurate updated model when compared to sending an updated model compressed to a size similar to that of the model update object.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.