A model training method and system based on federated learning
A model training and federation technology, applied in the information field, can solve the problem of difficult trade-off between accuracy and privacy, and achieve the effect of ensuring accuracy and data privacy.
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[0046] In order to better understand the above-mentioned technical solution, the above-mentioned technical solution will be described in detail below in conjunction with the accompanying drawings and specific implementation methods.
[0047] refer to figure 1 , in some embodiments, a model training method based on federated learning is provided, the node device and the central server are respectively deployed with a neural network model, the method includes:
[0048] The following steps are iteratively performed until the training stop condition is met:
[0049] S1. The central server sends the parameters to each node device;
[0050] S2. Each node device performs neural network model training based on the parameters and the local data set, and obtains a gradient value;
[0051] S3. Each node device adds noise to its own gradient value, obtains the noise-added gradient value and sends it to the central server, and the central server calculates the sum of the noise-added grad...
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