Federated machine-learning platform leveraging engineered features based on statistical tests
US12242930B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 2, 2020 |
| Grant date | Mar 4, 2025 |
| Priority date | — |
| Expiry date | Jan 3, 2044 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04W12/02
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Provided is a process including: receiving a data token to be passed from a first node to a second node; retrieving machine learning model attributes from a collection of one or more of the sub-models of a federated machine-learning model; determining based on the machine learning model attributes, that the data token is learning relevant to members of the collection of one or more of the sub-models and, in response, adding the data toke to a training set to be used by at least some members of the collection of one or more of the sub-models; determining a collection of data tokens to transmit from the second node to a third node of the set of nodes participating in a federated machine-learning model; and transmitting the collection of data tokens.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.