Determining a course of action based on aggregated data
US10922627B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 15, 2017 |
| Grant date | Feb 16, 2021 |
| Priority date | — |
| Expiry date | Dec 19, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N7/08
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Described herein is a system that transmits and combines local models, that individually comprise a set of local parameters computed via stochastic gradient descent (SGD), into a global model that comprises a set of global model parameters. The local models are computed in parallel at different geographic locations along with symbolic representations. Network transmission of the local models and the symbolic representations, rather than transmission of the large training data subsets processed to compute the local models and symbolic representations, conserves resources and decreases latency. The global model can then be used as a model to determine a likelihood of a course of action being successful for an organization. For example, the course of action can be a purchase of a security or a business operation strategy. In another example, the course of action can be a type of medical treatment for a patient.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.