TensorFlow Privacy is a powerful framework that enhances privacy in machine learning models by incorporating differential privacy techniques. One of the key aspects of TensorFlow Privacy is the modification of the gradient calculation process during training. In this answer, we will consider the details of how TensorFlow Privacy achieves this modification and the impact it