Machine learning model inference using user-created machine learning models while maintaining user privacy
US11948346B1 · kind B1 · utility
Assignee
Inventor
Key dates
| Filing date | Jun 22, 2023 |
| Grant date | Apr 2, 2024 |
| Priority date | — |
| Expiry date | Jun 22, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V2201/10
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A server system is described. The server system includes at least one processor and at least one memory storing a plurality of instructions that, when executed by the at least one processor, causes the at least one processor to receive a plurality of machine learning (ML) models and ML model data from the plurality of mobile computing devices, where the ML model data includes metadata, and the ML model data excludes media. At least one group of the plurality of ML models is selected based on the metadata, each ML model of the at least one group tested, and a plurality of metrics is determined based on the ML models that were tested. Further, a set of ML models of the ML models that were tested is selected, and at least two ML models of the set of ML models are combined based on at least one parameter.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.