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__CNN_BiLSTM__FedAvg__non_iid
Browse files- .gitattributes +1 -0
- Edge_IIoTset__CNN_BiLSTM__FedAvg__non_iid/DONE.flag +1 -0
- Edge_IIoTset__CNN_BiLSTM__FedAvg__non_iid/config.json +23 -0
- Edge_IIoTset__CNN_BiLSTM__FedAvg__non_iid/model.keras +3 -0
- Edge_IIoTset__CNN_BiLSTM__FedAvg__non_iid/round_metrics.csv +31 -0
- _checkpoints/Edge_IIoTset__CNN_BiLSTM__FedAvg__iid/state.json +2 -8
- _checkpoints/Edge_IIoTset__CNN_BiLSTM__FedAvg__non_iid/history.csv +31 -0
- _checkpoints/Edge_IIoTset__CNN_BiLSTM__FedAvg__non_iid/latest_weights.npz +3 -0
- _checkpoints/Edge_IIoTset__CNN_BiLSTM__FedAvg__non_iid/state.json +12 -0
- all_results_summary.csv +2 -1
- grid_progress.json +5 -5
.gitattributes
CHANGED
|
@@ -64,3 +64,4 @@ Edge_IIoTset__BiLSTM__FedProx__non_iid/model.keras filter=lfs diff=lfs merge=lfs
|
|
| 64 |
Edge_IIoTset__BiLSTM__FedNova__iid/model.keras filter=lfs diff=lfs merge=lfs -text
|
| 65 |
Edge_IIoTset__BiLSTM__FedNova__non_iid/model.keras filter=lfs diff=lfs merge=lfs -text
|
| 66 |
Edge_IIoTset__CNN_BiLSTM__FedAvg__iid/model.keras filter=lfs diff=lfs merge=lfs -text
|
|
|
|
|
|
| 64 |
Edge_IIoTset__BiLSTM__FedNova__iid/model.keras filter=lfs diff=lfs merge=lfs -text
|
| 65 |
Edge_IIoTset__BiLSTM__FedNova__non_iid/model.keras filter=lfs diff=lfs merge=lfs -text
|
| 66 |
Edge_IIoTset__CNN_BiLSTM__FedAvg__iid/model.keras filter=lfs diff=lfs merge=lfs -text
|
| 67 |
+
Edge_IIoTset__CNN_BiLSTM__FedAvg__non_iid/model.keras filter=lfs diff=lfs merge=lfs -text
|
Edge_IIoTset__CNN_BiLSTM__FedAvg__non_iid/DONE.flag
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
done
|
Edge_IIoTset__CNN_BiLSTM__FedAvg__non_iid/config.json
ADDED
|
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"tag": "Edge_IIoTset__CNN_BiLSTM__FedAvg__non_iid",
|
| 3 |
+
"dataset": "Edge_IIoTset",
|
| 4 |
+
"model": "CNN_BiLSTM",
|
| 5 |
+
"fl_algo": "FedAvg",
|
| 6 |
+
"partition": "non_iid",
|
| 7 |
+
"n_clients": 30,
|
| 8 |
+
"n_rounds": 30,
|
| 9 |
+
"total_time_s": 998.0,
|
| 10 |
+
"model_params": 101921,
|
| 11 |
+
"model_mb": 0.4077,
|
| 12 |
+
"final": {
|
| 13 |
+
"accuracy": 0.99988,
|
| 14 |
+
"precision": 0.9997600575861794,
|
| 15 |
+
"recall": 1.0,
|
| 16 |
+
"f1_binary": 0.9998800143982722,
|
| 17 |
+
"f1_macro": 0.999879999998272,
|
| 18 |
+
"f1_weighted": 0.9998799999982722,
|
| 19 |
+
"fpr": 0.00024,
|
| 20 |
+
"auc_roc": 0.9999994624,
|
| 21 |
+
"threshold": 0.015148844569921494
|
| 22 |
+
}
|
| 23 |
+
}
|
Edge_IIoTset__CNN_BiLSTM__FedAvg__non_iid/model.keras
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:4b474b503b748c332f7c81c6c3cb67690171cdeccb2dcec420f1e8312b8ab25c
|
| 3 |
+
size 481893
|
Edge_IIoTset__CNN_BiLSTM__FedAvg__non_iid/round_metrics.csv
ADDED
|
@@ -0,0 +1,31 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
accuracy,precision,recall,f1_binary,f1_macro,f1_weighted,fpr,auc_roc,threshold,round,comm_mb,round_time_s
|
| 2 |
+
0.7733,0.8302393746946751,0.6837658418829209,0.7499172642029784,0.7713006531348683,0.7714246767906732,0.13819844899582423,0.8570814922213983,0.7629282474517822,1,24.461,183.35
|
| 3 |
+
0.7223,0.7402540516863776,0.67994367330517,0.708818286672958,0.7217034184009921,0.7217781521650146,0.23583217339431298,0.7587382639551995,0.980471134185791,2,24.461,32.72
|
| 4 |
+
0.6387,0.5985486211901306,0.8296117481392074,0.695388247196695,0.6257381093459824,0.6253341385464483,0.5500099423344601,0.6291904459666023,0.9973844885826111,3,24.461,26.88
|
| 5 |
+
0.6457,0.605621301775148,0.8235767451217059,0.6979797118745205,0.6347559703404528,0.6343892726395554,0.5301252734141977,0.6090829495504229,0.9992923736572266,4,24.461,25.58
|
| 6 |
+
0.6257,0.5929739551786796,0.7877690605511969,0.6766306695464362,0.6161788362568976,0.6158282156238183,0.5344999005766554,0.610993273813731,0.999645471572876,5,24.461,25.76
|
| 7 |
+
0.5807,0.5678172942817294,0.6552001609334138,0.6083870365181657,0.5785936043453843,0.5784208024387822,0.49294094253330684,0.5829772313540628,0.9998425245285034,6,24.461,25.46
|
| 8 |
+
0.583,0.5701032732364782,0.6552001609334138,0.6096967427929615,0.5810398698936898,0.580873660030874,0.48836746868164643,0.5806873343219265,0.999915361404419,7,24.461,25.53
|
| 9 |
+
0.591,0.5917135123880908,0.5717159525246429,0.5815428688356865,0.590790992407282,0.5908446315239971,0.3899383575263472,0.597460038555697,0.9999511241912842,8,24.461,25.56
|
| 10 |
+
0.6662,0.6677624820217793,0.6537919935626635,0.6607033949989836,0.666112374531572,0.6661437466128611,0.32153509644064426,0.6654382053412278,0.9999654293060303,9,24.461,25.59
|
| 11 |
+
0.7276,0.7664216267488736,0.6501709917521625,0.7035263387026557,0.7257920261770769,0.7259211671644286,0.1958639888645854,0.7495992765196621,0.9999734163284302,10,24.461,25.62
|
| 12 |
+
0.7941,0.9527363184079602,0.616374974854154,0.7485037254183462,0.7871021124340525,0.7873259830787436,0.030224696758798967,0.8525411394839323,0.9999797344207764,11,24.461,25.85
|
| 13 |
+
0.8926,0.9259016393442623,0.852142426071213,0.8874921433060968,0.892378174197529,0.8924065131766995,0.0674090276396898,0.9278876541406853,0.999974250793457,12,24.461,27.19
|
| 14 |
+
0.8317,0.9759698899826288,0.6781331723999195,0.8002373887240356,0.8274189103447391,0.8275765631701394,0.016504275203817857,0.9049433022926892,0.9998651742935181,13,24.461,30.93
|
| 15 |
+
0.9237,0.9546240276577356,0.8887547777107222,0.9205125533909783,0.9235771112306299,0.9235948856660999,0.0417578047325512,0.9746171261201227,0.9996860027313232,14,24.461,28.56
|
| 16 |
+
0.9804,0.9818365287588294,0.9786763226714946,0.9802538787023978,0.9803989266452231,0.9803997679232914,0.01789620202823623,0.9954504069516898,0.9853508472442627,15,24.461,27.63
|
| 17 |
+
0.9933,0.9979691307879772,0.9885334942667471,0.9932289034866094,0.9932992612435521,0.9932996693185423,0.001988466892026248,0.9978456475275829,0.5198451280593872,16,24.461,27.16
|
| 18 |
+
0.9966,0.999797529864345,0.9933614966807484,0.99656912209889,0.9965997245776907,0.996599902072068,0.00019884668920262477,0.9989064632134226,0.08140472322702408,17,24.461,27.1
|
| 19 |
+
0.9997,0.9997987927565393,0.9995976664654999,0.9996982194950206,0.9996999895566365,0.9996999998229937,0.00019884668920262477,0.9999946198190107,0.004317183513194323,18,24.461,26.32
|
| 20 |
+
0.9999,0.9997988736926791,1.0,0.9998994267323745,0.9998999967508944,0.9999000000570019,0.00019884668920262477,0.9999972999091689,0.017392802983522415,19,24.461,25.63
|
| 21 |
+
0.9999,0.9997988736926791,1.0,0.9998994267323745,0.9998999967508944,0.9999000000570019,0.00019884668920262477,0.9999981399374275,0.8696340918540955,20,24.461,26.03
|
| 22 |
+
0.9999,0.9997988736926791,1.0,0.9998994267323745,0.9998999967508944,0.9999000000570019,0.00019884668920262477,0.9999993799791426,0.913757860660553,21,24.461,26.1
|
| 23 |
+
0.9999,0.9997988736926791,1.0,0.9998994267323745,0.9998999967508944,0.9999000000570019,0.00019884668920262477,0.9999981399374276,0.054471589624881744,22,24.461,26.28
|
| 24 |
+
0.9999,0.9997988736926791,1.0,0.9998994267323745,0.9998999967508944,0.9999000000570019,0.00019884668920262477,0.9999991399710686,0.9043683409690857,23,24.461,26.27
|
| 25 |
+
0.9999,0.9997988736926791,1.0,0.9998994267323745,0.9998999967508944,0.9999000000570019,0.00019884668920262477,0.9999993799791425,0.9125725626945496,24,24.461,26.35
|
| 26 |
+
0.9999,0.9997988736926791,1.0,0.9998994267323745,0.9998999967508944,0.9999000000570019,0.00019884668920262477,0.9999993799791425,0.952350378036499,25,24.461,25.99
|
| 27 |
+
0.9999,0.9997988736926791,1.0,0.9998994267323745,0.9998999967508944,0.9999000000570019,0.00019884668920262477,0.9999992599751055,0.9400638341903687,26,24.461,26.09
|
| 28 |
+
0.9999,0.9997988736926791,1.0,0.9998994267323745,0.9998999967508944,0.9999000000570019,0.00019884668920262477,0.9999980599347362,0.009822150692343712,27,24.461,26.13
|
| 29 |
+
0.9999,0.9997988736926791,1.0,0.9998994267323745,0.9998999967508944,0.9999000000570019,0.00019884668920262477,0.9999992599751056,0.9591743350028992,28,24.461,26.13
|
| 30 |
+
0.9999,0.9997988736926791,1.0,0.9998994267323745,0.9998999967508944,0.9999000000570019,0.00019884668920262477,0.9999993799791426,0.9496532082557678,29,24.461,25.96
|
| 31 |
+
0.9999,0.9997988736926791,1.0,0.9998994267323745,0.9998999967508944,0.9999000000570019,0.00019884668920262477,0.9999993799791426,0.9342530965805054,30,24.461,25.87
|
_checkpoints/Edge_IIoTset__CNN_BiLSTM__FedAvg__iid/state.json
CHANGED
|
@@ -1,12 +1,6 @@
|
|
| 1 |
{
|
| 2 |
-
"status": "
|
| 3 |
"tag": "Edge_IIoTset__CNN_BiLSTM__FedAvg__iid",
|
| 4 |
-
"dataset": "Edge_IIoTset",
|
| 5 |
-
"model": "CNN_BiLSTM",
|
| 6 |
-
"fl_algo": "FedAvg",
|
| 7 |
-
"partition": "iid",
|
| 8 |
"last_round": 30,
|
| 9 |
-
"
|
| 10 |
-
"elapsed_time_s": 1083.91,
|
| 11 |
-
"updated_at": "2026-05-16 11:12:06"
|
| 12 |
}
|
|
|
|
| 1 |
{
|
| 2 |
+
"status": "done",
|
| 3 |
"tag": "Edge_IIoTset__CNN_BiLSTM__FedAvg__iid",
|
|
|
|
|
|
|
|
|
|
|
|
|
| 4 |
"last_round": 30,
|
| 5 |
+
"finished_at": "2026-05-16 11:13:10"
|
|
|
|
|
|
|
| 6 |
}
|
_checkpoints/Edge_IIoTset__CNN_BiLSTM__FedAvg__non_iid/history.csv
ADDED
|
@@ -0,0 +1,31 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
accuracy,precision,recall,f1_binary,f1_macro,f1_weighted,fpr,auc_roc,threshold,round,comm_mb,round_time_s
|
| 2 |
+
0.7733,0.8302393746946751,0.6837658418829209,0.7499172642029784,0.7713006531348683,0.7714246767906732,0.13819844899582423,0.8570814922213983,0.7629282474517822,1,24.461,183.35
|
| 3 |
+
0.7223,0.7402540516863776,0.67994367330517,0.708818286672958,0.7217034184009921,0.7217781521650146,0.23583217339431298,0.7587382639551995,0.980471134185791,2,24.461,32.72
|
| 4 |
+
0.6387,0.5985486211901306,0.8296117481392074,0.695388247196695,0.6257381093459824,0.6253341385464483,0.5500099423344601,0.6291904459666023,0.9973844885826111,3,24.461,26.88
|
| 5 |
+
0.6457,0.605621301775148,0.8235767451217059,0.6979797118745205,0.6347559703404528,0.6343892726395554,0.5301252734141977,0.6090829495504229,0.9992923736572266,4,24.461,25.58
|
| 6 |
+
0.6257,0.5929739551786796,0.7877690605511969,0.6766306695464362,0.6161788362568976,0.6158282156238183,0.5344999005766554,0.610993273813731,0.999645471572876,5,24.461,25.76
|
| 7 |
+
0.5807,0.5678172942817294,0.6552001609334138,0.6083870365181657,0.5785936043453843,0.5784208024387822,0.49294094253330684,0.5829772313540628,0.9998425245285034,6,24.461,25.46
|
| 8 |
+
0.583,0.5701032732364782,0.6552001609334138,0.6096967427929615,0.5810398698936898,0.580873660030874,0.48836746868164643,0.5806873343219265,0.999915361404419,7,24.461,25.53
|
| 9 |
+
0.591,0.5917135123880908,0.5717159525246429,0.5815428688356865,0.590790992407282,0.5908446315239971,0.3899383575263472,0.597460038555697,0.9999511241912842,8,24.461,25.56
|
| 10 |
+
0.6662,0.6677624820217793,0.6537919935626635,0.6607033949989836,0.666112374531572,0.6661437466128611,0.32153509644064426,0.6654382053412278,0.9999654293060303,9,24.461,25.59
|
| 11 |
+
0.7276,0.7664216267488736,0.6501709917521625,0.7035263387026557,0.7257920261770769,0.7259211671644286,0.1958639888645854,0.7495992765196621,0.9999734163284302,10,24.461,25.62
|
| 12 |
+
0.7941,0.9527363184079602,0.616374974854154,0.7485037254183462,0.7871021124340525,0.7873259830787436,0.030224696758798967,0.8525411394839323,0.9999797344207764,11,24.461,25.85
|
| 13 |
+
0.8926,0.9259016393442623,0.852142426071213,0.8874921433060968,0.892378174197529,0.8924065131766995,0.0674090276396898,0.9278876541406853,0.999974250793457,12,24.461,27.19
|
| 14 |
+
0.8317,0.9759698899826288,0.6781331723999195,0.8002373887240356,0.8274189103447391,0.8275765631701394,0.016504275203817857,0.9049433022926892,0.9998651742935181,13,24.461,30.93
|
| 15 |
+
0.9237,0.9546240276577356,0.8887547777107222,0.9205125533909783,0.9235771112306299,0.9235948856660999,0.0417578047325512,0.9746171261201227,0.9996860027313232,14,24.461,28.56
|
| 16 |
+
0.9804,0.9818365287588294,0.9786763226714946,0.9802538787023978,0.9803989266452231,0.9803997679232914,0.01789620202823623,0.9954504069516898,0.9853508472442627,15,24.461,27.63
|
| 17 |
+
0.9933,0.9979691307879772,0.9885334942667471,0.9932289034866094,0.9932992612435521,0.9932996693185423,0.001988466892026248,0.9978456475275829,0.5198451280593872,16,24.461,27.16
|
| 18 |
+
0.9966,0.999797529864345,0.9933614966807484,0.99656912209889,0.9965997245776907,0.996599902072068,0.00019884668920262477,0.9989064632134226,0.08140472322702408,17,24.461,27.1
|
| 19 |
+
0.9997,0.9997987927565393,0.9995976664654999,0.9996982194950206,0.9996999895566365,0.9996999998229937,0.00019884668920262477,0.9999946198190107,0.004317183513194323,18,24.461,26.32
|
| 20 |
+
0.9999,0.9997988736926791,1.0,0.9998994267323745,0.9998999967508944,0.9999000000570019,0.00019884668920262477,0.9999972999091689,0.017392802983522415,19,24.461,25.63
|
| 21 |
+
0.9999,0.9997988736926791,1.0,0.9998994267323745,0.9998999967508944,0.9999000000570019,0.00019884668920262477,0.9999981399374275,0.8696340918540955,20,24.461,26.03
|
| 22 |
+
0.9999,0.9997988736926791,1.0,0.9998994267323745,0.9998999967508944,0.9999000000570019,0.00019884668920262477,0.9999993799791426,0.913757860660553,21,24.461,26.1
|
| 23 |
+
0.9999,0.9997988736926791,1.0,0.9998994267323745,0.9998999967508944,0.9999000000570019,0.00019884668920262477,0.9999981399374276,0.054471589624881744,22,24.461,26.28
|
| 24 |
+
0.9999,0.9997988736926791,1.0,0.9998994267323745,0.9998999967508944,0.9999000000570019,0.00019884668920262477,0.9999991399710686,0.9043683409690857,23,24.461,26.27
|
| 25 |
+
0.9999,0.9997988736926791,1.0,0.9998994267323745,0.9998999967508944,0.9999000000570019,0.00019884668920262477,0.9999993799791425,0.9125725626945496,24,24.461,26.35
|
| 26 |
+
0.9999,0.9997988736926791,1.0,0.9998994267323745,0.9998999967508944,0.9999000000570019,0.00019884668920262477,0.9999993799791425,0.952350378036499,25,24.461,25.99
|
| 27 |
+
0.9999,0.9997988736926791,1.0,0.9998994267323745,0.9998999967508944,0.9999000000570019,0.00019884668920262477,0.9999992599751055,0.9400638341903687,26,24.461,26.09
|
| 28 |
+
0.9999,0.9997988736926791,1.0,0.9998994267323745,0.9998999967508944,0.9999000000570019,0.00019884668920262477,0.9999980599347362,0.009822150692343712,27,24.461,26.13
|
| 29 |
+
0.9999,0.9997988736926791,1.0,0.9998994267323745,0.9998999967508944,0.9999000000570019,0.00019884668920262477,0.9999992599751056,0.9591743350028992,28,24.461,26.13
|
| 30 |
+
0.9999,0.9997988736926791,1.0,0.9998994267323745,0.9998999967508944,0.9999000000570019,0.00019884668920262477,0.9999993799791426,0.9496532082557678,29,24.461,25.96
|
| 31 |
+
0.9999,0.9997988736926791,1.0,0.9998994267323745,0.9998999967508944,0.9999000000570019,0.00019884668920262477,0.9999993799791426,0.9342530965805054,30,24.461,25.87
|
_checkpoints/Edge_IIoTset__CNN_BiLSTM__FedAvg__non_iid/latest_weights.npz
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:63d2589558ce8c828dfd6a8072af38cef83601a03835cf067ff02bed40695206
|
| 3 |
+
size 383323
|
_checkpoints/Edge_IIoTset__CNN_BiLSTM__FedAvg__non_iid/state.json
ADDED
|
@@ -0,0 +1,12 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"status": "running",
|
| 3 |
+
"tag": "Edge_IIoTset__CNN_BiLSTM__FedAvg__non_iid",
|
| 4 |
+
"dataset": "Edge_IIoTset",
|
| 5 |
+
"model": "CNN_BiLSTM",
|
| 6 |
+
"fl_algo": "FedAvg",
|
| 7 |
+
"partition": "non_iid",
|
| 8 |
+
"last_round": 30,
|
| 9 |
+
"n_rounds": 30,
|
| 10 |
+
"elapsed_time_s": 956.26,
|
| 11 |
+
"updated_at": "2026-05-16 11:29:16"
|
| 12 |
+
}
|
all_results_summary.csv
CHANGED
|
@@ -29,7 +29,8 @@ Edge_IIoTset__BiLSTM__FedNova__iid,Edge_IIoTset,BiLSTM,FedNova,iid,30,30,7440.8,
|
|
| 29 |
Edge_IIoTset__BiLSTM__FedNova__non_iid,Edge_IIoTset,BiLSTM,FedNova,non_iid,30,30,6097.6,79233,0.3169,0.37584,0.3894271872328299,0.43728,0.4119686463671992,0.3734749471181376,0.3734749471181376,0.6856,0.268124213,0.4999898672103882,,,
|
| 30 |
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,,,
|
| 31 |
Edge_IIoTset__BiLSTM__FedProx__non_iid,Edge_IIoTset,BiLSTM,FedProx,non_iid,30,30,6867.5,79233,0.3169,0.75395,0.7854461254861408,0.69878,0.7395827820877829,0.7531988040673854,0.7531988040673854,0.19088,0.8671545724,0.4988952279090881,,,
|
| 32 |
-
Edge_IIoTset__CNN_BiLSTM__FedAvg__iid,Edge_IIoTset,CNN_BiLSTM,FedAvg,iid,30,30,1135.0,101921,0.4077,0.99986,0.999760047990402,0.99996,0.
|
|
|
|
| 33 |
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
|
| 34 |
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
|
| 35 |
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
|
|
|
|
| 29 |
Edge_IIoTset__BiLSTM__FedNova__non_iid,Edge_IIoTset,BiLSTM,FedNova,non_iid,30,30,6097.6,79233,0.3169,0.37584,0.3894271872328299,0.43728,0.4119686463671992,0.3734749471181376,0.3734749471181376,0.6856,0.268124213,0.4999898672103882,,,
|
| 30 |
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,,,
|
| 31 |
Edge_IIoTset__BiLSTM__FedProx__non_iid,Edge_IIoTset,BiLSTM,FedProx,non_iid,30,30,6867.5,79233,0.3169,0.75395,0.7854461254861408,0.69878,0.7395827820877829,0.7531988040673854,0.7531988040673854,0.19088,0.8671545724,0.4988952279090881,,,
|
| 32 |
+
Edge_IIoTset__CNN_BiLSTM__FedAvg__iid,Edge_IIoTset,CNN_BiLSTM,FedAvg,iid,30,30,1135.0,101921,0.4077,0.99986,0.999760047990402,0.99996,0.9998600139986,0.9998599999986,0.9998599999986,0.00024,0.9999842308,0.2675802409648895,,,
|
| 33 |
+
Edge_IIoTset__CNN_BiLSTM__FedAvg__non_iid,Edge_IIoTset,CNN_BiLSTM,FedAvg,non_iid,30,30,998.0,101921,0.4077,0.99988,0.9997600575861794,1.0,0.9998800143982722,0.999879999998272,0.9998799999982722,0.00024,0.9999994624,0.015148844569921494,,,
|
| 34 |
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
|
| 35 |
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
|
| 36 |
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
|
@@ -60,10 +60,10 @@
|
|
| 60 |
"Edge_IIoTset__BiLSTM__FedProx__iid",
|
| 61 |
"Edge_IIoTset__BiLSTM__FedProx__non_iid",
|
| 62 |
"Edge_IIoTset__BiLSTM__FedNova__iid",
|
| 63 |
-
"Edge_IIoTset__BiLSTM__FedNova__non_iid"
|
|
|
|
| 64 |
],
|
| 65 |
"pending": [
|
| 66 |
-
"Edge_IIoTset__CNN_BiLSTM__FedAvg__iid",
|
| 67 |
"Edge_IIoTset__CNN_BiLSTM__FedAvg__non_iid",
|
| 68 |
"Edge_IIoTset__CNN_BiLSTM__FedProx__iid",
|
| 69 |
"Edge_IIoTset__CNN_BiLSTM__FedProx__non_iid",
|
|
@@ -76,7 +76,7 @@
|
|
| 76 |
"Edge_IIoTset__Transformer__FedNova__iid",
|
| 77 |
"Edge_IIoTset__Transformer__FedNova__non_iid"
|
| 78 |
],
|
| 79 |
-
"completed_count":
|
| 80 |
-
"pending_count":
|
| 81 |
-
"updated_at": "2026-05-16
|
| 82 |
}
|
|
|
|
| 60 |
"Edge_IIoTset__BiLSTM__FedProx__iid",
|
| 61 |
"Edge_IIoTset__BiLSTM__FedProx__non_iid",
|
| 62 |
"Edge_IIoTset__BiLSTM__FedNova__iid",
|
| 63 |
+
"Edge_IIoTset__BiLSTM__FedNova__non_iid",
|
| 64 |
+
"Edge_IIoTset__CNN_BiLSTM__FedAvg__iid"
|
| 65 |
],
|
| 66 |
"pending": [
|
|
|
|
| 67 |
"Edge_IIoTset__CNN_BiLSTM__FedAvg__non_iid",
|
| 68 |
"Edge_IIoTset__CNN_BiLSTM__FedProx__iid",
|
| 69 |
"Edge_IIoTset__CNN_BiLSTM__FedProx__non_iid",
|
|
|
|
| 76 |
"Edge_IIoTset__Transformer__FedNova__iid",
|
| 77 |
"Edge_IIoTset__Transformer__FedNova__non_iid"
|
| 78 |
],
|
| 79 |
+
"completed_count": 61,
|
| 80 |
+
"pending_count": 11,
|
| 81 |
+
"updated_at": "2026-05-16 11:13:16"
|
| 82 |
}
|