Semantic learning in a federated learning system
US11681951B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 8, 2022 |
| Grant date | Jun 20, 2023 |
| Priority date | — |
| Expiry date | Aug 8, 2042 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L67/10
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method, a computer system, and a computer program product are provided for federated learning. An aggregator may receive cluster information from distributed computing devices. The cluster information may relate to identified clusters in sample data of the distributed computing devices. The cluster information may include centroid information per cluster. The aggregator may include a processor. The aggregator may integrate the cluster information to define data classes for machine learning classification. The integrating may include computing a respective distance between centroids of the clusters in order to determine a total number of the data classes. The aggregator may send a deep learning model that includes an output layer that has a total number of nodes equal to the total number of the data classes. The deep learning model may be for the distributed computing devices to perform machine learning classification in federated learning.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.