Partitioned machine learning architecture
US11922313B2 · kind B2 · utility
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Key dates
| Filing date | Feb 6, 2017 |
| Grant date | Mar 5, 2024 |
| Priority date | — |
| Expiry date | Feb 6, 2037 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/098
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A system may include a processor and a memory. The memory may include program code that provides operations when executed by the processor. The operations may include: partitioning, based at least on a resource constraint of a platform, a global machine learning model into a plurality of local machine learning models; transforming training data to at least conform to the resource constraint of the platform; and training the global machine learning model by at least processing, at the platform, the transformed training data with a first of the plurality of local machine learning models.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.