Edge devices utilizing personalized machine learning and methods of operating the same
US11599750B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 28, 2018 |
| Grant date | Mar 7, 2023 |
| Priority date | — |
| Expiry date | Jan 6, 2042 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L63/0421
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Edge devices utilizing personalized machine learning and methods of operating the same are disclosed. An example edge device includes a model accessor to access a first machine learning model from a cloud service provider. A local data interface is to collect local user data. A model trainer is to train the first machine learning model to create a second machine learning model using the local user data. A local permissions data store is to store permissions indicating constraints on the local user data with respect to sharing outside of the edge device. A permissions enforcer is to apply permissions to the local user data to create a sub-set of the local user data to be shared outside of the edge device. A transmitter is to provide the sub-set of the local user data to a public data repository.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.