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
done: Edge_IIoTset__BiLSTM__FedProx__iid
Browse files- .gitattributes +1 -0
- Edge_IIoTset__BiLSTM__FedProx__iid/DONE.flag +1 -0
- Edge_IIoTset__BiLSTM__FedProx__iid/config.json +23 -0
- Edge_IIoTset__BiLSTM__FedProx__iid/model.keras +3 -0
- Edge_IIoTset__BiLSTM__FedProx__iid/round_metrics.csv +31 -0
- _checkpoints/Edge_IIoTset__BiLSTM__FedAvg__non_iid/state.json +2 -8
- _checkpoints/Edge_IIoTset__BiLSTM__FedProx__iid/history.csv +31 -0
- _checkpoints/Edge_IIoTset__BiLSTM__FedProx__iid/latest_weights.npz +3 -0
- _checkpoints/Edge_IIoTset__BiLSTM__FedProx__iid/state.json +12 -0
- all_results_summary.csv +2 -1
- grid_progress.json +5 -5
.gitattributes
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@@ -59,3 +59,4 @@ UNSW_NB15__BiLSTM__FedProx__non_iid/model.keras filter=lfs diff=lfs merge=lfs -t
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CICIDS2017__CNN_BiLSTM__FedAvg__iid/model.keras filter=lfs diff=lfs merge=lfs -text
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Edge_IIoTset__BiLSTM__FedAvg__iid/model.keras filter=lfs diff=lfs merge=lfs -text
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Edge_IIoTset__BiLSTM__FedAvg__non_iid/model.keras filter=lfs diff=lfs merge=lfs -text
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CICIDS2017__CNN_BiLSTM__FedAvg__iid/model.keras filter=lfs diff=lfs merge=lfs -text
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Edge_IIoTset__BiLSTM__FedAvg__iid/model.keras filter=lfs diff=lfs merge=lfs -text
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Edge_IIoTset__BiLSTM__FedAvg__non_iid/model.keras filter=lfs diff=lfs merge=lfs -text
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Edge_IIoTset__BiLSTM__FedProx__iid/model.keras filter=lfs diff=lfs merge=lfs -text
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Edge_IIoTset__BiLSTM__FedProx__iid/DONE.flag
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done
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Edge_IIoTset__BiLSTM__FedProx__iid/config.json
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{
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"tag": "Edge_IIoTset__BiLSTM__FedProx__iid",
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"fl_algo": "FedProx",
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"partition": "iid",
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Edge_IIoTset__BiLSTM__FedProx__iid/model.keras
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size 373954
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Edge_IIoTset__BiLSTM__FedProx__iid/round_metrics.csv
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_checkpoints/Edge_IIoTset__BiLSTM__FedAvg__non_iid/state.json
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{
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"status": "
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"tag": "Edge_IIoTset__BiLSTM__FedAvg__non_iid",
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"dataset": "Edge_IIoTset",
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"model": "BiLSTM",
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"fl_algo": "FedAvg",
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"partition": "non_iid",
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"
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"updated_at": "2026-05-16 02:50:17"
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}
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{
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"status": "done",
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"tag": "Edge_IIoTset__BiLSTM__FedAvg__non_iid",
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"last_round": 30,
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"finished_at": "2026-05-16 02:53:03"
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_checkpoints/Edge_IIoTset__BiLSTM__FedProx__iid/history.csv
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_checkpoints/Edge_IIoTset__BiLSTM__FedProx__iid/latest_weights.npz
ADDED
|
@@ -0,0 +1,3 @@
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|
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| 1 |
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version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:ad4cc8690909edea33c89439fb2d203f048930da05e27da30d6272c204c69f09
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| 3 |
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size 297185
|
_checkpoints/Edge_IIoTset__BiLSTM__FedProx__iid/state.json
ADDED
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@@ -0,0 +1,12 @@
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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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{
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| 2 |
+
"status": "running",
|
| 3 |
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"tag": "Edge_IIoTset__BiLSTM__FedProx__iid",
|
| 4 |
+
"dataset": "Edge_IIoTset",
|
| 5 |
+
"model": "BiLSTM",
|
| 6 |
+
"fl_algo": "FedProx",
|
| 7 |
+
"partition": "iid",
|
| 8 |
+
"last_round": 30,
|
| 9 |
+
"n_rounds": 30,
|
| 10 |
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"elapsed_time_s": 8183.87,
|
| 11 |
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"updated_at": "2026-05-16 05:09:34"
|
| 12 |
+
}
|
all_results_summary.csv
CHANGED
|
@@ -24,7 +24,8 @@ CICIDS2017__Transformer__FedNova__non_iid,CICIDS2017,Transformer,FedNova,non_iid
|
|
| 24 |
CICIDS2017__Transformer__FedProx__iid,CICIDS2017,Transformer,FedProx,iid,30,30,7410.3,615,0.0025,0.8030041561497062,0.0,0.0,0.0,0.4453701082223304,0.7152680958547515,0.0,0.5,inf,30.0,0.0,0.0
|
| 25 |
CICIDS2017__Transformer__FedProx__non_iid,CICIDS2017,Transformer,FedProx,non_iid,30,30,6568.2,615,0.0025,0.8030041561497062,0.0,0.0,0.0,0.4453701082223304,0.7152680958547515,0.0,0.5,inf,30.0,0.0,0.0
|
| 26 |
Edge_IIoTset__BiLSTM__FedAvg__iid,Edge_IIoTset,BiLSTM,FedAvg,iid,30,30,1152.1,79233,0.3169,0.82557,0.8716637366149912,0.76356,0.8140385291954072,0.8248966857142657,0.8248966857142657,0.11242,0.9218189936,0.5211995840072632,,,
|
| 27 |
-
Edge_IIoTset__BiLSTM__FedAvg__non_iid,Edge_IIoTset,BiLSTM,FedAvg,non_iid,30,30,1057.2,79233,0.3169,0.84042,0.8221233913701741,0.86882,0.8448269155970439,0.840291185258382,0.840291185258382,0.18798,0.
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|
|
|
| 28 |
Edge_IIoTset__CNN__FedAvg__iid,Edge_IIoTset,CNN,FedAvg,iid,30,30,648.6,8993,0.036,0.99988,0.9997600575861794,1.0,0.9998800143982722,0.999879999998272,0.9998799999982722,0.00024,0.999999514,0.9958939552307128,30.0,0.0,0.0
|
| 29 |
Edge_IIoTset__CNN__FedAvg__non_iid,Edge_IIoTset,CNN,FedAvg,non_iid,30,30,551.5,8993,0.036,0.99988,0.9997600575861794,1.0,0.9998800143982722,0.999879999998272,0.9998799999982722,0.00024,0.9999982762,0.999739944934845,30.0,0.0,0.0
|
| 30 |
Edge_IIoTset__CNN__FedNova__iid,Edge_IIoTset,CNN,FedNova,iid,30,30,4235.9,8993,0.036,0.99987,0.9997600527883864,0.99998,0.9998700142984271,0.999869999998427,0.999869999998427,0.00024,0.9998799962,1.0,30.0,0.0,0.0
|
|
|
|
| 24 |
CICIDS2017__Transformer__FedProx__iid,CICIDS2017,Transformer,FedProx,iid,30,30,7410.3,615,0.0025,0.8030041561497062,0.0,0.0,0.0,0.4453701082223304,0.7152680958547515,0.0,0.5,inf,30.0,0.0,0.0
|
| 25 |
CICIDS2017__Transformer__FedProx__non_iid,CICIDS2017,Transformer,FedProx,non_iid,30,30,6568.2,615,0.0025,0.8030041561497062,0.0,0.0,0.0,0.4453701082223304,0.7152680958547515,0.0,0.5,inf,30.0,0.0,0.0
|
| 26 |
Edge_IIoTset__BiLSTM__FedAvg__iid,Edge_IIoTset,BiLSTM,FedAvg,iid,30,30,1152.1,79233,0.3169,0.82557,0.8716637366149912,0.76356,0.8140385291954072,0.8248966857142657,0.8248966857142657,0.11242,0.9218189936,0.5211995840072632,,,
|
| 27 |
+
Edge_IIoTset__BiLSTM__FedAvg__non_iid,Edge_IIoTset,BiLSTM,FedAvg,non_iid,30,30,1057.2,79233,0.3169,0.84042,0.8221233913701741,0.86882,0.8448269155970439,0.840291185258382,0.840291185258382,0.18798,0.9326115422,0.4610846936702728,,,
|
| 28 |
+
Edge_IIoTset__BiLSTM__FedProx__iid,Edge_IIoTset,BiLSTM,FedProx,iid,30,30,8366.9,79233,0.3169,0.77257,0.8185345331307702,0.70042,0.7548849490758205,0.7713798900114914,0.7713798900114913,0.15528,0.8748885938,0.4885738492012024,,,
|
| 29 |
Edge_IIoTset__CNN__FedAvg__iid,Edge_IIoTset,CNN,FedAvg,iid,30,30,648.6,8993,0.036,0.99988,0.9997600575861794,1.0,0.9998800143982722,0.999879999998272,0.9998799999982722,0.00024,0.999999514,0.9958939552307128,30.0,0.0,0.0
|
| 30 |
Edge_IIoTset__CNN__FedAvg__non_iid,Edge_IIoTset,CNN,FedAvg,non_iid,30,30,551.5,8993,0.036,0.99988,0.9997600575861794,1.0,0.9998800143982722,0.999879999998272,0.9998799999982722,0.00024,0.9999982762,0.999739944934845,30.0,0.0,0.0
|
| 31 |
Edge_IIoTset__CNN__FedNova__iid,Edge_IIoTset,CNN,FedNova,iid,30,30,4235.9,8993,0.036,0.99987,0.9997600527883864,0.99998,0.9998700142984271,0.999869999998427,0.999869999998427,0.00024,0.9998799962,1.0,30.0,0.0,0.0
|
grid_progress.json
CHANGED
|
@@ -55,10 +55,10 @@
|
|
| 55 |
"Edge_IIoTset__CNN__FedProx__non_iid",
|
| 56 |
"Edge_IIoTset__CNN__FedNova__iid",
|
| 57 |
"Edge_IIoTset__CNN__FedNova__non_iid",
|
| 58 |
-
"Edge_IIoTset__BiLSTM__FedAvg__iid"
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|
|
|
| 59 |
],
|
| 60 |
"pending": [
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| 61 |
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"Edge_IIoTset__BiLSTM__FedAvg__non_iid",
|
| 62 |
"Edge_IIoTset__BiLSTM__FedProx__iid",
|
| 63 |
"Edge_IIoTset__BiLSTM__FedProx__non_iid",
|
| 64 |
"Edge_IIoTset__BiLSTM__FedNova__iid",
|
|
@@ -76,7 +76,7 @@
|
|
| 76 |
"Edge_IIoTset__Transformer__FedNova__iid",
|
| 77 |
"Edge_IIoTset__Transformer__FedNova__non_iid"
|
| 78 |
],
|
| 79 |
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| 80 |
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"updated_at": "2026-05-16 02:
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| 82 |
}
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|
|
|
| 55 |
"Edge_IIoTset__CNN__FedProx__non_iid",
|
| 56 |
"Edge_IIoTset__CNN__FedNova__iid",
|
| 57 |
"Edge_IIoTset__CNN__FedNova__non_iid",
|
| 58 |
+
"Edge_IIoTset__BiLSTM__FedAvg__iid",
|
| 59 |
+
"Edge_IIoTset__BiLSTM__FedAvg__non_iid"
|
| 60 |
],
|
| 61 |
"pending": [
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|
|
| 62 |
"Edge_IIoTset__BiLSTM__FedProx__iid",
|
| 63 |
"Edge_IIoTset__BiLSTM__FedProx__non_iid",
|
| 64 |
"Edge_IIoTset__BiLSTM__FedNova__iid",
|
|
|
|
| 76 |
"Edge_IIoTset__Transformer__FedNova__iid",
|
| 77 |
"Edge_IIoTset__Transformer__FedNova__non_iid"
|
| 78 |
],
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| 79 |
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"completed_count": 56,
|
| 80 |
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|
| 81 |
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"updated_at": "2026-05-16 02:53:07"
|
| 82 |
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