Machine learning with distributed training
US10380504B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 20, 2017 |
| Grant date | Aug 13, 2019 |
| Priority date | — |
| Expiry date | Dec 20, 2037 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L67/60
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A network system may include a plurality of trainer devices and a computing system disposed within a remote network management platform. The computing system may be configured to: receive, from a client device of a managed network, information indicating (i) training data that is to be used as basis for generating a machine learning (ML) model and (ii) a target variable to be predicted using the ML model; transmit an ML training request for reception by one of the plurality of trainer devices; provide the training data to a particular trainer device executing a particular ML trainer process that is serving the ML training request; receive, from the particular trainer device, the ML model that is generated based on the provided training data and according to the particular ML trainer process; predict the target variable using the ML model; and transmit, to the client device, information indicating the target variable.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.