Systems and methods for adaptively improving the performance of locked machine learning programs
US12333393B2 · kind B2 · utility
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7References
20Claims
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Key dates
| Filing date | Nov 11, 2022 |
| Grant date | Jun 17, 2025 |
| Priority date | — |
| Expiry date | Oct 17, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG16H50/70
- WIPO fieldMedical technology
- WIPO sectorInstruments
Abstract
Techniques for adaptively improving the performance of a locked machine learning program have been disclosed. In one particular embodiment, the techniques may be realized as a method for enabling a first party to provide a trained machine learning model to a second party, the method comprising receiving the trained machine learning model from the first party, the trained machine learning model being associated with one or more policies defining permissible operations; and constraining the second party to operate the trained machine learning model in a manner that is consistent with said one or more policies.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.