Machine learning model processing method based on block chain network and node

A technology of machine learning models and processing methods, applied in machine learning, neural learning methods, biological neural network models, etc., can solve the problems of complicated application scenarios of machine learning models, and the inability of training programs to meet the requirements of security and efficiency. Safety and the effect of improving processing efficiency
CN110991622AActive Publication Date: 2020-04-10TENCENT TECH (SHENZHEN) CO LTD
10 Cites 8 Cited by

Patent Information

Authority / Receiving Office
CN ยท China
Patent Type
Applications(China)
Current Assignee / Owner
TENCENT TECH (SHENZHEN) CO LTD
Publication Date
2020-04-10

Smart Images

  • Figure 1
    Figure 1
  • Figure 2
    Figure 2
  • Figure 3
    Figure 3
Patent Text Reader

Abstract

The invention provides a machine learning model processing method based on a block chain network, a node and a storage medium. The method comprises the following steps: storing an encrypted machine learning model sent by a demand side node to a block chain network; generating key pairs in one-to-one correspondence with authorized participant nodes, and sending the key pairs to the corresponding participant nodes; in response to query requests sent by the participant nodes, sending the encrypted machine learning model to the participant nodes, so that the participant nodes decrypt the encryptedmachine learning model according to private keys in the held key pairs, and encrypt the updated machine learning model according to public keys in the held key pairs; and storing the encrypted machine learning model sent by the participant nodes to the block chain network. According to the invention, in a multi-party participated machine learning model training scene, the safety of the training data and the safety of the machine learning model are improved, and the processing efficiency of the machine learning model is improved.
Need to check novelty before this filing date? Find Prior Art

Description

[0001] This application is the application number 201910776690.2, the application date is August 22, 2019, and the name is: a divisional application for processing methods of machine learning models based on blockchain networks and nodes. technical field

[0002] The present invention relates to artificial intelligence and block chain technology, in particular to a block chain network-based machine learning model processing method, block chain network nodes and storage media. Background technique

[0003] Artificial Intelligence (AI) is a theory, method, technology and application system that uses digital computers or machines controlled by digital computers to simulate, extend and expand human intelligence, perceive the environment, acquire knowledge and use knowledge to obtain the best results. Machine learning (ML, Machine Learning) is a multi-field interdisciplinary subject, the core of artificial intelligence, and the fundamental way to make computers intelligent, and it...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More