Automatically detecting outliers in federated data
US12417411B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 2, 2021 |
| Grant date | Sep 16, 2025 |
| Priority date | — |
| Expiry date | Feb 27, 2044 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/02
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods, systems, and computer program products for automatically detecting outliers in federated data are provided herein. A computer-implemented method includes obtaining local outlier-related data from multiple client systems within a federated learning environment; detecting one or more federated learning environment-level outliers from at least a portion of the multiple client systems by processing at least a portion of the obtained local outlier-related data using one or more artificial intelligence models; determining at least one calibration parameter for detecting federated learning environment-level outliers based at least in part on the one or more detected federated learning environment-level outliers; and outputting the at least one determined calibration parameter to at least a portion of the multiple client systems within the federated learning environment.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.