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 files- Edge_IIoTset/X_test.npy +1 -1
- Edge_IIoTset/X_train.npy +1 -1
- Edge_IIoTset/iid/client_1.npz +2 -2
- Edge_IIoTset/iid/client_12.npz +2 -2
- Edge_IIoTset/iid/client_14.npz +2 -2
- Edge_IIoTset/iid/client_16.npz +2 -2
- Edge_IIoTset/iid/client_19.npz +2 -2
- Edge_IIoTset/iid/client_20.npz +2 -2
- Edge_IIoTset/iid/client_21.npz +2 -2
- Edge_IIoTset/iid/client_22.npz +2 -2
- Edge_IIoTset/iid/client_23.npz +2 -2
- Edge_IIoTset/iid/client_25.npz +2 -2
- Edge_IIoTset/iid/client_29.npz +2 -2
- Edge_IIoTset/iid/client_7.npz +2 -2
- Edge_IIoTset/iid/client_8.npz +2 -2
- _checkpoints/Edge_IIoTset__CNN__FedNova__non_iid/history.csv +9 -0
- _checkpoints/Edge_IIoTset__CNN__FedNova__non_iid/state.json +8 -0
- _checkpoints/Edge_IIoTset__CNN__FedProx__iid/history.csv +31 -0
- _checkpoints/Edge_IIoTset__CNN__FedProx__iid/state.json +7 -0
- _checkpoints/UNSW_NB15__Transformer__FedNova__non_iid/history.csv +31 -0
- _checkpoints/UNSW_NB15__Transformer__FedNova__non_iid/state.json +7 -0
- _checkpoints/UNSW_NB15__Transformer__FedProx__iid/history.csv +29 -2
- _checkpoints/UNSW_NB15__Transformer__FedProx__iid/state.json +3 -4
- _checkpoints/UNSW_NB15__Transformer__FedProx__non_iid/history.csv +31 -0
- _checkpoints/UNSW_NB15__Transformer__FedProx__non_iid/state.json +7 -0
Edge_IIoTset/X_test.npy
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_checkpoints/Edge_IIoTset__CNN__FedNova__non_iid/history.csv
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_checkpoints/Edge_IIoTset__CNN__FedNova__non_iid/state.json
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{
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"updated_at": "2026-05-11 02:29:37"
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_checkpoints/Edge_IIoTset__CNN__FedProx__iid/history.csv
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| 27 |
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0.9999,0.9997988736926791,1.0,0.9998994267323745,0.9998999967508944,0.9999000000570019,0.00019884668920262477,0.9999992399744327,0.9999979734420776,26,2.158,162.72
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| 28 |
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| 29 |
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| 30 |
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| 31 |
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|
_checkpoints/Edge_IIoTset__CNN__FedProx__iid/state.json
ADDED
|
@@ -0,0 +1,7 @@
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|
|
|
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|
|
|
|
|
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|
|
|
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|
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|
| 1 |
+
{
|
| 2 |
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"status": "done",
|
| 3 |
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|
| 4 |
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|
| 5 |
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"n_rounds": 30,
|
| 6 |
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"finished_at": "2026-05-10 23:55:02"
|
| 7 |
+
}
|
_checkpoints/UNSW_NB15__Transformer__FedNova__non_iid/history.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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|
|
|
|
|
|
|
|
|
|
|
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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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| 6 |
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| 26 |
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| 30 |
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| 31 |
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|
_checkpoints/UNSW_NB15__Transformer__FedNova__non_iid/state.json
ADDED
|
@@ -0,0 +1,7 @@
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
| 1 |
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{
|
| 2 |
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"status": "done",
|
| 3 |
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|
| 4 |
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|
| 5 |
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|
| 6 |
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|
| 7 |
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}
|
_checkpoints/UNSW_NB15__Transformer__FedProx__iid/history.csv
CHANGED
|
@@ -1,4 +1,31 @@
|
|
| 1 |
accuracy,precision,recall,f1_binary,f1_macro,f1_weighted,fpr,auc_roc,threshold,round,comm_mb,round_time_s
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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
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| 23 |
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| 25 |
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| 26 |
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| 27 |
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| 31 |
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|
_checkpoints/UNSW_NB15__Transformer__FedProx__iid/state.json
CHANGED
|
@@ -1,8 +1,7 @@
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|
| 1 |
{
|
| 2 |
-
"status": "
|
| 3 |
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|
| 4 |
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| 5 |
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|
| 6 |
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"
|
| 7 |
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|
| 8 |
}
|
|
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|
| 1 |
{
|
| 2 |
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"status": "done",
|
| 3 |
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|
| 4 |
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|
| 5 |
"n_rounds": 30,
|
| 6 |
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"finished_at": "2026-05-10 17:41:03"
|
|
|
|
| 7 |
}
|
_checkpoints/UNSW_NB15__Transformer__FedProx__non_iid/history.csv
ADDED
|
@@ -0,0 +1,31 @@
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+
accuracy,precision,recall,f1_binary,f1_macro,f1_weighted,fpr,auc_roc,threshold,round,comm_mb,round_time_s
|
| 2 |
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| 3 |
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|
| 4 |
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|
| 5 |
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| 6 |
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|
| 7 |
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|
| 8 |
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0.6409,0.6409,1.0,0.7811566823084892,0.3905783411542446,0.5006433176915107,1.0,0.5,0.5046202540397644,7,0.148,202.79
|
| 9 |
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|
| 10 |
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0.6409,0.6409,1.0,0.7811566823084892,0.3905783411542446,0.5006433176915107,1.0,0.5,0.5053105354309082,9,0.148,196.22
|
| 11 |
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|
| 12 |
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|
| 13 |
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|
| 14 |
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|
| 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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0.6409,0.6409,1.0,0.7811566823084892,0.3905783411542446,0.5006433176915107,1.0,0.5,0.5067515969276428,18,0.148,193.11
|
| 20 |
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0.6409,0.6409,1.0,0.7811566823084892,0.3905783411542446,0.5006433176915107,1.0,0.5,0.5068244934082031,19,0.148,193.2
|
| 21 |
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0.6409,0.6409,1.0,0.7811566823084892,0.3905783411542446,0.5006433176915107,1.0,0.5,0.5068211555480957,20,0.148,194.35
|
| 22 |
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0.6409,0.6409,1.0,0.7811566823084892,0.3905783411542446,0.5006433176915107,1.0,0.5,0.5069746971130371,21,0.148,192.12
|
| 23 |
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0.6409,0.6409,1.0,0.7811566823084892,0.3905783411542446,0.5006433176915107,1.0,0.5,0.5071492195129395,22,0.148,191.74
|
| 24 |
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0.6409,0.6409,1.0,0.7811566823084892,0.3905783411542446,0.5006433176915107,1.0,0.5,0.5072067975997925,23,0.148,194.07
|
| 25 |
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0.6409,0.6409,1.0,0.7811566823084892,0.3905783411542446,0.5006433176915107,1.0,0.5,0.5071446299552917,24,0.148,191.98
|
| 26 |
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0.6409,0.6409,1.0,0.7811566823084892,0.3905783411542446,0.5006433176915107,1.0,0.5,0.5071901679039001,25,0.148,195.85
|
| 27 |
+
0.6409,0.6409,1.0,0.7811566823084892,0.3905783411542446,0.5006433176915107,1.0,0.5,0.5072293281555176,26,0.148,194.76
|
| 28 |
+
0.6409,0.6409,1.0,0.7811566823084892,0.3905783411542446,0.5006433176915107,1.0,0.5,0.5073269009590149,27,0.148,194.25
|
| 29 |
+
0.6409,0.6409,1.0,0.7811566823084892,0.3905783411542446,0.5006433176915107,1.0,0.5,0.5072872638702393,28,0.148,194.17
|
| 30 |
+
0.6409,0.6409,1.0,0.7811566823084892,0.3905783411542446,0.5006433176915107,1.0,0.5,0.5072265863418579,29,0.148,193.28
|
| 31 |
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|
_checkpoints/UNSW_NB15__Transformer__FedProx__non_iid/state.json
ADDED
|
@@ -0,0 +1,7 @@
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|
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|
| 1 |
+
{
|
| 2 |
+
"status": "done",
|
| 3 |
+
"tag": "UNSW_NB15__Transformer__FedProx__non_iid",
|
| 4 |
+
"last_round": 30,
|
| 5 |
+
"n_rounds": 30,
|
| 6 |
+
"finished_at": "2026-05-10 19:19:28"
|
| 7 |
+
}
|