Personalized machine learning model management and deployment on edge devices
US11178010B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 25, 2020 |
| Grant date | Nov 16, 2021 |
| Priority date | — |
| Expiry date | Feb 29, 2040 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L43/0817
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
A computer-implemented method, a computer program product, and a computer system for personalized machine learning model management and deployment on edge devices. An edge server monitors activities performed on respective ones of edge devices. The edge server associates machine learning models in a model set with respective ones of the activities. The edge server predicts a next set of activities that are to be performed on the respective ones of the edge devices. The edge server deploys, on the respective ones of edge devices, machine learning models that are associated with the next set of the activities. Applications on the respective ones of the devices, which execute the next set of the activities, leverage the machine learning models that are associated with the next set of the activities.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.