Distributed machine learning in edge computing
US11770305B2 · kind B2 · utility
1Cited by
1References
20Claims
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Key dates
| Filing date | Aug 9, 2021 |
| Grant date | Sep 26, 2023 |
| Priority date | — |
| Expiry date | Sep 18, 2041 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L43/16
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
Approaches presented herein enable deploying a distributed machine learning framework in an edge computing environment. More specifically, a status of a connection between a computing system and an edge node of a plurality of edge nodes is monitored. At least one server node and a group of worker nodes from the plurality of edge nodes are identified based on the status. A path for distributing the training data to the worker nodes is determined based on the status. The training data from the edge node to the worker nodes is distributed via the path.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.