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Experiment code for "A Learning-based Hierarchical Edge Data Corruption Detection Framework in Edge Intelligence"

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LH-EDCD

This is partly the reproduction of the manuscript of "A Learning-based Hierarchical Edge Data Corruption Detection Framework in Edge Intelligence" on KDD99 and CIC-IDS2017.

Requirements

  • Python>=3.6
  • Flask~=2.1.2
  • matplotlib~=3.5.2
  • numpy~=1.23.0
  • requests~=2.25.1
  • torch~=1.12.0
  • scikit-learn~=1.1.1

Run

python fed_avg.py

Please see the arguments in options.py.

Notes

  • Please customize "your_path" in DatasetStore.py.
  • Hyperparameter can be changed in options.py.

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Experiment code for "A Learning-based Hierarchical Edge Data Corruption Detection Framework in Edge Intelligence"

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