Flyige

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AssertionError: compute_gradients() on the differentially private optimizer was not called. Which means that the training is not differentially private. It happens for example in Keras training in TensorFlow 2.0+.

Hi! have you sloved ur problem yet? I 'm facing the same question during switch my optimizer with the dpoptimizer ` # training updates pretrain_opt = self.g_optimizer(self.learning_rate) self.pretrain_grad, _ =...