Artificial intelligence system providing automated distributed training of machine learning models
US12242928B1 · kind B1 · utility
5Cited by
2References
19Claims
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Key dates
| Filing date | Mar 19, 2020 |
| Grant date | Mar 4, 2025 |
| Priority date | — |
| Expiry date | Nov 22, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/20
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Multiple distinct control descriptors, each specifying an algorithm and values of one or more parameters of the algorithm, are created. A plurality of tuples, each indicating a respective record of a data set and a respective descriptor, are generated. The tuples are distributed among a plurality of compute resources such that the number of distinct descriptors indicated in the tuples received at a given resource is below a threshold. The algorithm is executed in accordance with the descriptors' parameters at individual compute resources.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.