P_MetaSGD

Towards Communication-Efficient Radio Modulation Network Recognition: A Personalized Federated Learning Approach

Name		Name	Last commit message	Last commit date
Latest commit History 4 Commits
__pycache__		__pycache__
federated_cnn.model		federated_cnn.model
result		result
Differential_privacy_fed.py		Differential_privacy_fed.py
IID_federated.h5		IID_federated.h5
README.md		README.md
accuracy_vs_snr.png		accuracy_vs_snr.png
ann.h5		ann.h5
cnn.h5		cnn.h5
cnn.py		cnn.py
cnnEvaluation.py		cnnEvaluation.py
confusion_matrix.png		confusion_matrix.png
dataGenerate.py		dataGenerate.py
dataProcessing.py		dataProcessing.py
dnn.py		dnn.py
dnnEvaluation.py		dnnEvaluation.py
featureExtract.py		featureExtract.py
fed.py		fed.py
fedEvaluation.py		fedEvaluation.py
fedMeta.py		fedMeta.py
fedMeta_IID.py		fedMeta_IID.py
federated.h5		federated.h5
federated.pth		federated.pth
federated_model.pth		federated_model.pth
metaSGD.py		metaSGD.py
metaSGDEvaluation.py		metaSGDEvaluation.py
metasgd.h5		metasgd.h5
model.py		model.py
modelEvaluation.py		modelEvaluation.py
multi_task_fed.py		multi_task_fed.py
visualize.py		visualize.py

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