Invention Grant
- Patent Title: Model training method, model using method, system, trusted node and device
-
Application No.: US17669922Application Date: 2022-02-11
-
Publication No.: US12001569B2Publication Date: 2024-06-04
- Inventor: Chuan Lv , Xiaoxing Zhang
- Applicant: Jiangsu Superfluidity Information Technology Co., Ltd
- Applicant Address: CN Kunshan
- Assignee: JIANGSU SUPERFLUIDITY INFORMATION TECHNOLOGY CO., LTD
- Current Assignee: JIANGSU SUPERFLUIDITY INFORMATION TECHNOLOGY CO., LTD
- Current Assignee Address: CN Kunshan
- Agency: Getech Law LLC
- Agent Jun Ye
- Priority: CN 2110476948.4 2021.04.29
- Main IPC: H04L9/08
- IPC: H04L9/08 ; G06F21/60 ; G06N10/60 ; G06N20/00

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.
Public/Granted literature
- US20220350898A1 MODEL TRAINING METHOD, MODEL USING METHOD, SYSTEM, TRUSTED NODE AND DEVICE Public/Granted day:2022-11-03
Information query