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

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.

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...

AI Technical Summary

Problems solved by technology

[0005] However, the application scenarios of machine learning models are becoming more and more complex. For example, multiple business entities may participate in the training process, and the training solutions provided by related technologies cannot meet the requirements of safety and efficiency.

Images