Distributed machine learning method and system
US11263539B2 · kind B2 · utility
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14Claims
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Key dates
| Filing date | Feb 4, 2019 |
| Grant date | Mar 1, 2022 |
| Priority date | — |
| Expiry date | Aug 18, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method and system for distributed machine learning and model training are disclosed. In particular, a finite asynchronous parallel training scheme is described. The finite asynchronous parallel training takes advantage of the benefits of both asynchronous parallel training and synchronous parallel training. The computation delays in various distributed computation nodes are further considered when training parameter are updated during each round of iterative training. The disclosed method and system facilities increase of model training speed and efficiency.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.