Updating machine learning models across devices
US12094451B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 22, 2022 |
| Grant date | Sep 17, 2024 |
| Priority date | — |
| Expiry date | Dec 10, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L2015/0635
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A system may create a localized machine learning model including one or more customized local parameter values using a global model and variance data. The localized machine learning model may be used by a device or cohort of devices to perform evaluations of data. The localized model may be trained based off a global model that is adjusted and then trained a certain number of steps, where the number of steps is based at least in part on the variance data. The variance data may include variance data from other device cohorts which is received from a remote device, which can also re-train the global model using the variance data and/or the localized machine learning model(s).
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.