Automatic privacy-aware machine learning method and apparatus
US12199957B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 16, 2024 |
| Grant date | Jan 14, 2025 |
| Priority date | — |
| Expiry date | Feb 16, 2044 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
Disclosed are systems and methods for improving interactions with and between computers in content generating, searching, hosting and/or providing systems supported by or configured with personal computing devices, servers and/or platforms. The systems interact to identify and retrieve data within or across platforms, which can be used to improve the quality of data used in processing interactions between or among processors in such systems. The disclosed systems and methods provide systems and methods for privacy-aware machine learning using an improved data encoding that withholds more information. The disclosed systems and methods encode a corpus of data and encode each query used in searching and generating query results from the corpus of encoded data.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.