Artificial intelligence automation to improve network quality based on predicted locations
US11848828B1 · kind B1 · utility
Assignees
Inventors
Key dates
| Filing date | Aug 23, 2022 |
| Grant date | Dec 19, 2023 |
| Priority date | — |
| Expiry date | Aug 23, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
An artificial intelligence (AI) automation to improve network quality based on predicted locations is provided. A method can include training, by a first device comprising a processor and according to model configuration parameters received from a second device that is not the first device, a local machine learning model with training data derived from first location data collected by the first device; transmitting, by the first device to the second device, anonymized model features associated with the local machine learning model; in response to the transmitting of the anonymized model features, receiving, by the first device from the second device, an aggregated machine learning model; and estimating, by the first device, a future position of the first device by applying the aggregated machine learning model to second location data collected by the first device.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.