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In the enc-cnn file, it is written "# TODO: Encrypt the weights and biases when training the model". But this file seems to be only testing the accuracy on the encrypted model, but not training the model.
The text was updated successfully, but these errors were encountered:
For now, I end up deleting the encrypted training algorithm in order to clean my testing script. Although, you still can train all of the layer using encrypted input as I have defined the backward method on every autograd function. I'll add the encrypted training example as soon I finished polishing all of the encrypted layer! I'll notify you when this is done.
In the enc-cnn file, it is written "# TODO: Encrypt the weights and biases when training the model". But this file seems to be only testing the accuracy on the encrypted model, but not training the model.
The text was updated successfully, but these errors were encountered: