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federated-learing

This frame about federated learning is based on fedprox.

objects

  • Simulate more clients in a standalone machine
  • Every client has own model

todo

  • rewrite get_data.py to make code more beatiful
  • implement algorithms such as fedper and so on
  • isn't necessary to keep a model for trainer

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