Method and system for distributed machine learning
US11334819B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 28, 2020 |
| Grant date | May 17, 2022 |
| Priority date | — |
| Expiry date | Oct 29, 2040 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L67/10
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
The present teaching relates to estimating one or more parameters on a system including a plurality of nodes. In one example, the system comprises: one or more learner nodes, each of which is configured for generating information related to a group of words for estimating the one or more parameters associated with a machine learning model; and a plurality of server nodes, each of which is configured for obtaining a plurality of sub-vectors each of which is a portion of a vector that represents a word in the group of words, updating the sub-vectors based at least partially on the information to generate a plurality of updated sub-vectors, and estimating at least one of the one or more parameters associated with the machine learning model based on the plurality of updated sub-vectors.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.