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This repository contains the code for simulating federated learning experiments in the Continual Federated Learning (CFL) setting.

It implements a simulation system using TensorFlow low-level APIs. The main files are:

  • "contiunal-fl.py” : defines the main APIs for the CFL setting
  • "word_lstm_model.py”: defines the APIs for a word-level LSTM model
  • “linear_model.py”: defines the APIs for a simple 1-D linear regression model
  • “utils.py”: defines the utility functions for the CFL setting

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Repository for continual federated learning

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