Patent ID: 11949797
Assignee: JINAN UNIVERSITY
Field: Digital communication (Electrical engineering)
Classification: CPC G  H  Y | IPC G  H

Claim 0:
1. A neural network model update method, comprising operations of:
randomly generating a preset number of sub-neural network models as nodes in a blockchain based on a skeleton neural network;
using a ring signature to share a local data set in the blockchain, and uniformly dividing a data set in the blockchain to generate a training set and a test set;
training each node separately through the training set to generate a trained model, packaging the trained model as a model transaction and sharing the model transaction in the blockchain;
using the test set selected by voting to test the model transaction and generating a test result;
when the test result is greater than a benchmark evaluation, taking the sub-neural network model corresponding to the test result as a valid vote; and
voting a previous block corresponding to the valid vote, selecting a consistent block, and updating all nodes.