Systems and methods for cooperative machine learning across multiple client computing platforms and the cloud enabling off-line deep neural network operations on client computing platforms
US10867241B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 26, 2016 |
| Grant date | Dec 15, 2020 |
| Priority date | — |
| Expiry date | May 21, 2038 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L67/59
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Off-line deep neural network operations on client computing platforms may be enabled by cooperative machine learning across multiple client computing platforms and the cloud. A given client computing platform may include a client-side machine learning model configured to facilitate deep neural network operations on structured data. The operations may be performed by a client application installed on the given client computing platform. The client application may locally access the client-side machine learning model in order to perform the operations. Deep neural network operations on structured data may be performed at one or more servers. Sharing of model states may be facilitated between the cloud machine learning model and the client-side machine learning model. The cloud machine learning model may be improved, at one or more servers, based on usage of the application and user interactions with the given client computing platform.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.