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Hello, your project has helped me a lot. Thank you very much. But I have a question: why do I need copy.deepcopy(model) when I am trying to implement a federated learning model, it seems that without copy.deepcopy all models will have the same weight. It's only when you use it that the model is different. So why is that?
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