GitHub - Harry1Maguire/FC-RTC: The code for the paper "Building Robust Traffic Classifier under Low Quality Data: a Federated Contrastive Learning Approach" addresses network traffic classification under various packet loss scenarios in the federated learning architecture by leveraging contrastive learning.

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Name		Name	Last commit message	Last commit date
Latest commit History 1 Commit
__pycache__		__pycache__
CNN2model.py		CNN2model.py
CNN_RNN_2a_model.py		CNN_RNN_2a_model.py
CNNmodel.py		CNNmodel.py
DNN_HDRmodel.py		DNN_HDRmodel.py
DNN_PAYmodel.py		DNN_PAYmodel.py
conmodel_coldstart.py		conmodel_coldstart.py
conmodel_finetune.py		conmodel_finetune.py
exp4.py		exp4.py
experiment2_PL.py		experiment2_PL.py
experment1_PL.py		experment1_PL.py
main.py		main.py
main_conmodel.py		main_conmodel.py
main_exp3.py		main_exp3.py
model.py		model.py
pcap_proc.py		pcap_proc.py
pcap_proc4.py		pcap_proc4.py
pcap_proc6.py		pcap_proc6.py
process.py		process.py
save_print.py		save_print.py
simclr.py		simclr.py
supconloss.py		supconloss.py
unblanced_data.py		unblanced_data.py

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The code for the paper "Building Robust Traffic Classifier under Low Quality Data: a Federated Contrastive Learning Approach" addresses network traffic classification under various packet loss scenarios in the federated learning architecture by leveraging contrastive learning.