Model training method, model using method, system, trusted node and device
US12001569B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 11, 2022 |
| Grant date | Jun 4, 2024 |
| Priority date | — |
| Expiry date | Dec 3, 2042 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L63/0428
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
Aspects relating to machine learning includes receiving, by a first trusted node, a first target data set sent by a first participant, wherein the first target data set is obtained via encrypting, by the first participant, a data set provided by the first participant based on a first preset encryption mode; decrypting the first target data set, determining first training data, and performing model training for a preset machine learning model based on the first training data to obtain a first intermediate training result; acquiring an encrypted second intermediate training result sent by at least one second trusted node; and performing federated learning for the preset machine learning model based on at least the first intermediate training result and the decrypted second intermediate training result, to update model parameters of the preset machine learning model and obtain a learning completed target model.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.