Adaptive training of machine learning models based on live performance metrics
US11438406B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 4, 2020 |
| Grant date | Sep 6, 2022 |
| Priority date | — |
| Expiry date | Nov 5, 2040 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04W12/02
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
In one embodiment, a device deploys a first machine learning model to an inference location in a network. The first machine learning model is used at the inference location to make inferences about the network. The device receives, from the inference location, an indication that the first machine learning model is exhibiting poor performance. The device identifies a corrective measure for the poor performance that minimizes resource consumption by a model training pipeline of the device. The device deploys, based on the corrective measure, a second machine learning model to the inference location. The second machine learning model is used in lieu of the first machine learning model to make the inferences about the network.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.