Instructions to use JabaleNurAdnan/CS_Checkpoints_Dataset with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use JabaleNurAdnan/CS_Checkpoints_Dataset with Keras:
# !pip install -U keras tensorflow huggingface_hub # Keras needs TensorFlow installed to read "hf://" paths, so the tensorflow backend is selected here; # "jax" and "torch" also work for computation once TensorFlow is installed. import os os.environ["KERAS_BACKEND"] = "tensorflow" import keras model = keras.saving.load_model("hf://JabaleNurAdnan/CS_Checkpoints_Dataset") - Notebooks
- Google Colab
- Kaggle
Add files using upload-large-folder tool
Browse filesThis view is limited to 50 files because it contains too many changes. See raw diff
- CICIDS2017__BiLSTM__FedAvg__iid/DONE.flag +1 -0
- CICIDS2017__BiLSTM__FedAvg__iid/config.json +27 -0
- CICIDS2017__BiLSTM__FedAvg__iid/round_metrics.csv +31 -0
- CICIDS2017__BiLSTM__FedNova__iid/DONE.flag +1 -0
- CICIDS2017__BiLSTM__FedNova__iid/config.json +27 -0
- CICIDS2017__BiLSTM__FedNova__iid/round_metrics.csv +31 -0
- CICIDS2017__BiLSTM__FedProx__non_iid/DONE.flag +1 -0
- CICIDS2017__BiLSTM__FedProx__non_iid/config.json +27 -0
- CICIDS2017__BiLSTM__FedProx__non_iid/round_metrics.csv +31 -0
- CICIDS2017__CNN_BiLSTM__FedNova__non_iid/DONE.flag +1 -0
- CICIDS2017__CNN_BiLSTM__FedNova__non_iid/config.json +27 -0
- CICIDS2017__CNN_BiLSTM__FedNova__non_iid/round_metrics.csv +31 -0
- CICIDS2017__CNN_BiLSTM__FedProx__non_iid/DONE.flag +1 -0
- CICIDS2017__CNN_BiLSTM__FedProx__non_iid/config.json +27 -0
- CICIDS2017__CNN_BiLSTM__FedProx__non_iid/round_metrics.csv +31 -0
- CICIDS2017__CNN__FedNova__iid/DONE.flag +1 -0
- CICIDS2017__CNN__FedNova__iid/config.json +27 -0
- CICIDS2017__CNN__FedNova__iid/model.keras +0 -0
- CICIDS2017__CNN__FedNova__iid/round_metrics.csv +31 -0
- CICIDS2017__CNN__FedProx__iid/DONE.flag +1 -0
- CICIDS2017__CNN__FedProx__iid/config.json +27 -0
- CICIDS2017__CNN__FedProx__iid/model.keras +0 -0
- CICIDS2017__CNN__FedProx__iid/round_metrics.csv +31 -0
- CICIDS2017__CNN__FedProx__non_iid/round_metrics.csv +31 -0
- CICIDS2017__Transformer__FedAvg__iid/DONE.flag +1 -0
- CICIDS2017__Transformer__FedAvg__iid/config.json +27 -0
- CICIDS2017__Transformer__FedAvg__iid/model.keras +0 -0
- CICIDS2017__Transformer__FedAvg__iid/round_metrics.csv +31 -0
- CICIDS2017__Transformer__FedAvg__non_iid/DONE.flag +1 -0
- CICIDS2017__Transformer__FedAvg__non_iid/config.json +27 -0
- CICIDS2017__Transformer__FedAvg__non_iid/model.keras +0 -0
- CICIDS2017__Transformer__FedAvg__non_iid/round_metrics.csv +31 -0
- CICIDS2017__Transformer__FedProx__iid/DONE.flag +1 -0
- CICIDS2017__Transformer__FedProx__iid/config.json +27 -0
- CICIDS2017__Transformer__FedProx__iid/model.keras +0 -0
- CICIDS2017__Transformer__FedProx__iid/round_metrics.csv +31 -0
- Edge_IIoTset/metadata.json +31 -0
- Edge_IIoTset__CNN__FedAvg__non_iid/DONE.flag +1 -0
- Edge_IIoTset__CNN__FedAvg__non_iid/config.json +27 -0
- Edge_IIoTset__CNN__FedAvg__non_iid/model.keras +0 -0
- Edge_IIoTset__CNN__FedAvg__non_iid/round_metrics.csv +31 -0
- UNSW_NB15/metadata.json +40 -0
- UNSW_NB15__BiLSTM__FedAvg__non_iid/DONE.flag +1 -0
- UNSW_NB15__BiLSTM__FedAvg__non_iid/config.json +27 -0
- UNSW_NB15__BiLSTM__FedAvg__non_iid/round_metrics.csv +31 -0
- UNSW_NB15__BiLSTM__FedNova__iid/DONE.flag +1 -0
- UNSW_NB15__BiLSTM__FedNova__iid/config.json +27 -0
- UNSW_NB15__BiLSTM__FedNova__iid/round_metrics.csv +31 -0
- UNSW_NB15__BiLSTM__FedNova__non_iid/DONE.flag +1 -0
- UNSW_NB15__BiLSTM__FedNova__non_iid/config.json +27 -0
CICIDS2017__BiLSTM__FedAvg__iid/DONE.flag
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done
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CICIDS2017__BiLSTM__FedAvg__iid/config.json
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{
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"tag": "CICIDS2017__BiLSTM__FedAvg__iid",
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"fl_algo": "FedAvg",
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"partition": "iid",
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}
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}
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CICIDS2017__BiLSTM__FedAvg__iid/round_metrics.csv
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CICIDS2017__BiLSTM__FedNova__iid/DONE.flag
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done
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CICIDS2017__BiLSTM__FedNova__iid/config.json
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{
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"tag": "CICIDS2017__BiLSTM__FedNova__iid",
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"dataset": "CICIDS2017",
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"model": "BiLSTM",
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"fl_algo": "FedNova",
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"partition": "iid",
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"n_clients": 30,
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"n_rounds": 30,
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"max_cap": 2000,
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"model_params": 79233,
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"model_mb": 0.3169,
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"final": {
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"round": 30,
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"round_time_s": 0
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}
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}
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CICIDS2017__BiLSTM__FedNova__iid/round_metrics.csv
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accuracy,precision,recall,f1_binary,f1_macro,f1_weighted,fpr,auc_roc,threshold,round,comm_mb,round_time_s
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CICIDS2017__BiLSTM__FedProx__non_iid/DONE.flag
ADDED
|
@@ -0,0 +1 @@
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| 1 |
+
done
|
CICIDS2017__BiLSTM__FedProx__non_iid/config.json
ADDED
|
@@ -0,0 +1,27 @@
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| 1 |
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{
|
| 2 |
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"tag": "CICIDS2017__BiLSTM__FedProx__non_iid",
|
| 3 |
+
"dataset": "CICIDS2017",
|
| 4 |
+
"model": "BiLSTM",
|
| 5 |
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"fl_algo": "FedProx",
|
| 6 |
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"partition": "non_iid",
|
| 7 |
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|
| 26 |
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}
|
| 27 |
+
}
|
CICIDS2017__BiLSTM__FedProx__non_iid/round_metrics.csv
ADDED
|
@@ -0,0 +1,31 @@
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| 1 |
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|
CICIDS2017__CNN_BiLSTM__FedNova__non_iid/DONE.flag
ADDED
|
@@ -0,0 +1 @@
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| 1 |
+
done
|
CICIDS2017__CNN_BiLSTM__FedNova__non_iid/config.json
ADDED
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| 1 |
+
{
|
| 2 |
+
"tag": "CICIDS2017__CNN_BiLSTM__FedNova__non_iid",
|
| 3 |
+
"dataset": "CICIDS2017",
|
| 4 |
+
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|
| 5 |
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"fl_algo": "FedNova",
|
| 6 |
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"partition": "non_iid",
|
| 7 |
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|
| 8 |
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|
| 9 |
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|
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|
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|
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|
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|
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|
| 24 |
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|
| 25 |
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|
| 26 |
+
}
|
| 27 |
+
}
|
CICIDS2017__CNN_BiLSTM__FedNova__non_iid/round_metrics.csv
ADDED
|
@@ -0,0 +1,31 @@
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| 1 |
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CICIDS2017__CNN_BiLSTM__FedProx__non_iid/DONE.flag
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
done
|
CICIDS2017__CNN_BiLSTM__FedProx__non_iid/config.json
ADDED
|
@@ -0,0 +1,27 @@
|
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|
| 1 |
+
{
|
| 2 |
+
"tag": "CICIDS2017__CNN_BiLSTM__FedProx__non_iid",
|
| 3 |
+
"dataset": "CICIDS2017",
|
| 4 |
+
"model": "CNN_BiLSTM",
|
| 5 |
+
"fl_algo": "FedProx",
|
| 6 |
+
"partition": "non_iid",
|
| 7 |
+
"n_clients": 30,
|
| 8 |
+
"n_rounds": 30,
|
| 9 |
+
"max_cap": 2000,
|
| 10 |
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"total_time_s": 10916.3,
|
| 11 |
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"model_params": 101921,
|
| 12 |
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"model_mb": 0.4077,
|
| 13 |
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"final": {
|
| 14 |
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"accuracy": 0.9609749376930808,
|
| 15 |
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"precision": 0.8753010885347164,
|
| 16 |
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"recall": 0.9351200136287423,
|
| 17 |
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| 18 |
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"f1_macro": 0.9398587323236682,
|
| 19 |
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"f1_weighted": 0.9614547069633432,
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| 20 |
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|
| 21 |
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"auc_roc": 0.9922371051987794,
|
| 22 |
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"threshold": 0.8317905068397522,
|
| 23 |
+
"round": 30,
|
| 24 |
+
"comm_mb": 0,
|
| 25 |
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"round_time_s": 0
|
| 26 |
+
}
|
| 27 |
+
}
|
CICIDS2017__CNN_BiLSTM__FedProx__non_iid/round_metrics.csv
ADDED
|
@@ -0,0 +1,31 @@
|
|
|
|
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|
|
|
|
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|
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|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
accuracy,precision,recall,f1_binary,f1_macro,f1_weighted,fpr,auc_roc,threshold,round,comm_mb,round_time_s
|
| 2 |
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|
CICIDS2017__CNN__FedNova__iid/DONE.flag
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
done
|
CICIDS2017__CNN__FedNova__iid/config.json
ADDED
|
@@ -0,0 +1,27 @@
|
|
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| 1 |
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{
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"tag": "CICIDS2017__CNN__FedNova__iid",
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| 3 |
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CICIDS2017__CNN__FedNova__iid/model.keras
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CICIDS2017__CNN__FedNova__iid/round_metrics.csv
ADDED
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CICIDS2017__CNN__FedProx__iid/DONE.flag
ADDED
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| 1 |
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done
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CICIDS2017__CNN__FedProx__iid/config.json
ADDED
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CICIDS2017__CNN__FedProx__iid/model.keras
ADDED
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|
|
CICIDS2017__CNN__FedProx__iid/round_metrics.csv
ADDED
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CICIDS2017__CNN__FedProx__non_iid/round_metrics.csv
ADDED
|
@@ -0,0 +1,31 @@
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CICIDS2017__Transformer__FedAvg__iid/DONE.flag
ADDED
|
@@ -0,0 +1 @@
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| 1 |
+
done
|
CICIDS2017__Transformer__FedAvg__iid/config.json
ADDED
|
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| 1 |
+
{
|
| 2 |
+
"tag": "CICIDS2017__Transformer__FedAvg__iid",
|
| 3 |
+
"dataset": "CICIDS2017",
|
| 4 |
+
"model": "Transformer",
|
| 5 |
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"fl_algo": "FedAvg",
|
| 6 |
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"partition": "iid",
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| 7 |
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|
| 8 |
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|
| 9 |
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|
| 10 |
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| 11 |
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| 12 |
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| 13 |
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| 14 |
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| 22 |
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"threshold": Infinity,
|
| 23 |
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"round": 30,
|
| 24 |
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"comm_mb": 0,
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| 25 |
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"round_time_s": 0
|
| 26 |
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}
|
| 27 |
+
}
|
CICIDS2017__Transformer__FedAvg__iid/model.keras
ADDED
|
Binary file (63.9 kB). View file
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|
CICIDS2017__Transformer__FedAvg__iid/round_metrics.csv
ADDED
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| 1 |
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accuracy,precision,recall,f1_binary,f1_macro,f1_weighted,fpr,auc_roc,threshold,round,comm_mb,round_time_s
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|
CICIDS2017__Transformer__FedAvg__non_iid/DONE.flag
ADDED
|
@@ -0,0 +1 @@
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|
| 1 |
+
done
|
CICIDS2017__Transformer__FedAvg__non_iid/config.json
ADDED
|
@@ -0,0 +1,27 @@
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|
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|
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|
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|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"tag": "CICIDS2017__Transformer__FedAvg__non_iid",
|
| 3 |
+
"dataset": "CICIDS2017",
|
| 4 |
+
"model": "Transformer",
|
| 5 |
+
"fl_algo": "FedAvg",
|
| 6 |
+
"partition": "non_iid",
|
| 7 |
+
"n_clients": 30,
|
| 8 |
+
"n_rounds": 30,
|
| 9 |
+
"max_cap": 2000,
|
| 10 |
+
"total_time_s": 580.4,
|
| 11 |
+
"model_params": 615,
|
| 12 |
+
"model_mb": 0.0025,
|
| 13 |
+
"final": {
|
| 14 |
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"accuracy": 0.8030041561497062,
|
| 15 |
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|
| 16 |
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|
| 17 |
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| 18 |
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| 19 |
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| 20 |
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"fpr": 0.0,
|
| 21 |
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"auc_roc": 0.5,
|
| 22 |
+
"threshold": Infinity,
|
| 23 |
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"round": 30,
|
| 24 |
+
"comm_mb": 0,
|
| 25 |
+
"round_time_s": 0
|
| 26 |
+
}
|
| 27 |
+
}
|
CICIDS2017__Transformer__FedAvg__non_iid/model.keras
ADDED
|
Binary file (63.9 kB). View file
|
|
|
CICIDS2017__Transformer__FedAvg__non_iid/round_metrics.csv
ADDED
|
@@ -0,0 +1,31 @@
|
|
|
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|
|
|
|
|
|
|
|
|
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|
|
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|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
accuracy,precision,recall,f1_binary,f1_macro,f1_weighted,fpr,auc_roc,threshold,round,comm_mb,round_time_s
|
| 2 |
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0.8003,0.0,0.0,0.0,0.44453702160750985,0.7115259567849803,0.0,0.5,inf,1,0.148,294.9
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| 26 |
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| 27 |
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CICIDS2017__Transformer__FedProx__iid/DONE.flag
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
done
|
CICIDS2017__Transformer__FedProx__iid/config.json
ADDED
|
@@ -0,0 +1,27 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"tag": "CICIDS2017__Transformer__FedProx__iid",
|
| 3 |
+
"dataset": "CICIDS2017",
|
| 4 |
+
"model": "Transformer",
|
| 5 |
+
"fl_algo": "FedProx",
|
| 6 |
+
"partition": "iid",
|
| 7 |
+
"n_clients": 30,
|
| 8 |
+
"n_rounds": 30,
|
| 9 |
+
"max_cap": 2000,
|
| 10 |
+
"total_time_s": 7410.3,
|
| 11 |
+
"model_params": 615,
|
| 12 |
+
"model_mb": 0.0025,
|
| 13 |
+
"final": {
|
| 14 |
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"accuracy": 0.8030041561497062,
|
| 15 |
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|
| 16 |
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"recall": 0.0,
|
| 17 |
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"f1_binary": 0.0,
|
| 18 |
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"f1_macro": 0.4453701082223304,
|
| 19 |
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"f1_weighted": 0.7152680958547515,
|
| 20 |
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"fpr": 0.0,
|
| 21 |
+
"auc_roc": 0.5,
|
| 22 |
+
"threshold": Infinity,
|
| 23 |
+
"round": 30,
|
| 24 |
+
"comm_mb": 0,
|
| 25 |
+
"round_time_s": 0
|
| 26 |
+
}
|
| 27 |
+
}
|
CICIDS2017__Transformer__FedProx__iid/model.keras
ADDED
|
Binary file (63.9 kB). View file
|
|
|
CICIDS2017__Transformer__FedProx__iid/round_metrics.csv
ADDED
|
@@ -0,0 +1,31 @@
|
|
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|
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|
|
|
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|
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|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
accuracy,precision,recall,f1_binary,f1_macro,f1_weighted,fpr,auc_roc,threshold,round,comm_mb,round_time_s
|
| 2 |
+
0.8003,0.0,0.0,0.0,0.44453702160750985,0.7115259567849803,0.0,0.5,inf,1,0.148,250.93
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| 19 |
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| 23 |
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| 24 |
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0.8003,0.0,0.0,0.0,0.44453702160750985,0.7115259567849803,0.0,0.5,inf,23,0.148,247.07
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| 25 |
+
0.8003,0.0,0.0,0.0,0.44453702160750985,0.7115259567849803,0.0,0.5,inf,24,0.148,246.31
|
| 26 |
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0.8003,0.0,0.0,0.0,0.44453702160750985,0.7115259567849803,0.0,0.5,inf,25,0.148,245.71
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| 27 |
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0.8003,0.0,0.0,0.0,0.44453702160750985,0.7115259567849803,0.0,0.5,inf,26,0.148,245.57
|
| 28 |
+
0.8003,0.0,0.0,0.0,0.44453702160750985,0.7115259567849803,0.0,0.5,inf,27,0.148,244.65
|
| 29 |
+
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|
| 30 |
+
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| 31 |
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|
Edge_IIoTset/metadata.json
ADDED
|
@@ -0,0 +1,31 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
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|
|
|
|
|
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|
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|
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|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"name": "Edge_IIoTset",
|
| 3 |
+
"n_train": 400000,
|
| 4 |
+
"n_test": 100000,
|
| 5 |
+
"n_features": 21,
|
| 6 |
+
"features": [
|
| 7 |
+
"tcp.dstport",
|
| 8 |
+
"tcp.srcport",
|
| 9 |
+
"tcp.seq",
|
| 10 |
+
"tcp.ack",
|
| 11 |
+
"tcp.len",
|
| 12 |
+
"tcp.ack_raw",
|
| 13 |
+
"mqtt.msgtype",
|
| 14 |
+
"mqtt.len",
|
| 15 |
+
"tcp.connection.syn",
|
| 16 |
+
"tcp.connection.rst",
|
| 17 |
+
"mqtt.topic_len",
|
| 18 |
+
"mqtt.ver",
|
| 19 |
+
"mqtt.proto_len",
|
| 20 |
+
"mqtt.conflag.cleansess",
|
| 21 |
+
"tcp.connection.fin",
|
| 22 |
+
"tcp.flags.ack",
|
| 23 |
+
"http.content_length",
|
| 24 |
+
"tcp.connection.synack",
|
| 25 |
+
"arp.hw.size",
|
| 26 |
+
"arp.opcode",
|
| 27 |
+
"http.response"
|
| 28 |
+
],
|
| 29 |
+
"n_clients": 30,
|
| 30 |
+
"alpha": 0.5
|
| 31 |
+
}
|
Edge_IIoTset__CNN__FedAvg__non_iid/DONE.flag
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
done
|
Edge_IIoTset__CNN__FedAvg__non_iid/config.json
ADDED
|
@@ -0,0 +1,27 @@
|
|
|
|
|
|
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|
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|
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|
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|
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|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"tag": "Edge_IIoTset__CNN__FedAvg__non_iid",
|
| 3 |
+
"dataset": "Edge_IIoTset",
|
| 4 |
+
"model": "CNN",
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| 5 |
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| 6 |
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| 7 |
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| 8 |
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| 9 |
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| 11 |
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| 15 |
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| 26 |
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| 27 |
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Edge_IIoTset__CNN__FedAvg__non_iid/model.keras
ADDED
|
Binary file (80.8 kB). View file
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|
Edge_IIoTset__CNN__FedAvg__non_iid/round_metrics.csv
ADDED
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@@ -0,0 +1,31 @@
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UNSW_NB15/metadata.json
ADDED
|
@@ -0,0 +1,40 @@
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| 1 |
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{
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| 2 |
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| 3 |
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| 5 |
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"id",
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"sload",
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"dbytes",
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| 12 |
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"ct_state_ttl",
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| 13 |
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"sttl",
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| 14 |
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"dttl",
|
| 15 |
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"rate",
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| 16 |
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"dur",
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| 17 |
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"dmean",
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| 18 |
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"dinpkt",
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| 19 |
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"dload",
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"dpkts",
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"sinpkt",
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"tcprtt",
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"synack",
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| 24 |
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"ackdat",
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"sjit",
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"spkts",
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"ct_dst_sport_ltm",
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"dloss",
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"sloss",
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"ct_srv_dst",
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| 32 |
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"ct_src_dport_ltm",
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| 33 |
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"ct_dst_ltm",
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"ct_srv_src",
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"ct_dst_src_ltm",
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UNSW_NB15__BiLSTM__FedAvg__non_iid/DONE.flag
ADDED
|
@@ -0,0 +1 @@
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|
| 1 |
+
done
|
UNSW_NB15__BiLSTM__FedAvg__non_iid/config.json
ADDED
|
@@ -0,0 +1,27 @@
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|
| 1 |
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{
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| 2 |
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| 3 |
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| 4 |
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| 26 |
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|
| 27 |
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}
|
UNSW_NB15__BiLSTM__FedAvg__non_iid/round_metrics.csv
ADDED
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@@ -0,0 +1,31 @@
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| 1 |
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UNSW_NB15__BiLSTM__FedNova__iid/DONE.flag
ADDED
|
@@ -0,0 +1 @@
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| 1 |
+
done
|
UNSW_NB15__BiLSTM__FedNova__iid/config.json
ADDED
|
@@ -0,0 +1,27 @@
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| 1 |
+
{
|
| 2 |
+
"tag": "UNSW_NB15__BiLSTM__FedNova__iid",
|
| 3 |
+
"dataset": "UNSW_NB15",
|
| 4 |
+
"model": "BiLSTM",
|
| 5 |
+
"fl_algo": "FedNova",
|
| 6 |
+
"partition": "iid",
|
| 7 |
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"n_clients": 30,
|
| 8 |
+
"n_rounds": 30,
|
| 9 |
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"max_cap": 2000,
|
| 10 |
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|
| 11 |
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| 12 |
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|
| 13 |
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| 14 |
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| 23 |
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"round": 30,
|
| 24 |
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|
| 25 |
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"round_time_s": 0
|
| 26 |
+
}
|
| 27 |
+
}
|
UNSW_NB15__BiLSTM__FedNova__iid/round_metrics.csv
ADDED
|
@@ -0,0 +1,31 @@
|
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| 1 |
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accuracy,precision,recall,f1_binary,f1_macro,f1_weighted,fpr,auc_roc,threshold,round,comm_mb,round_time_s
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| 2 |
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|
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|
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|
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|
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|
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|
UNSW_NB15__BiLSTM__FedNova__non_iid/DONE.flag
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
done
|
UNSW_NB15__BiLSTM__FedNova__non_iid/config.json
ADDED
|
@@ -0,0 +1,27 @@
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|
| 1 |
+
{
|
| 2 |
+
"tag": "UNSW_NB15__BiLSTM__FedNova__non_iid",
|
| 3 |
+
"dataset": "UNSW_NB15",
|
| 4 |
+
"model": "BiLSTM",
|
| 5 |
+
"fl_algo": "FedNova",
|
| 6 |
+
"partition": "non_iid",
|
| 7 |
+
"n_clients": 30,
|
| 8 |
+
"n_rounds": 30,
|
| 9 |
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"max_cap": 2000,
|
| 10 |
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|
| 11 |
+
"model_params": 79233,
|
| 12 |
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"model_mb": 0.3169,
|
| 13 |
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"final": {
|
| 14 |
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"accuracy": 0.8913165809643931,
|
| 15 |
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"precision": 0.9273608505315822,
|
| 16 |
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"f1_macro": 0.8834609875056818,
|
| 19 |
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"f1_weighted": 0.8918772754152952,
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|
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"auc_roc": 0.9619856788624057,
|
| 22 |
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"threshold": 0.5386126041412354,
|
| 23 |
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"round": 30,
|
| 24 |
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"comm_mb": 0,
|
| 25 |
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"round_time_s": 0
|
| 26 |
+
}
|
| 27 |
+
}
|