
=== Start adding workers ===
=> Add worker SGDMWorker(index=0, momentum=0.9)
=> Add worker SGDMWorker(index=1, momentum=0.9)
=> Add worker SGDMWorker(index=2, momentum=0.9)
=> Add worker SGDMWorker(index=3, momentum=0.9)
=> Add worker SGDMWorker(index=4, momentum=0.9)
=> Add worker SGDMWorker(index=5, momentum=0.9)
=> Add worker SGDMWorker(index=6, momentum=0.9)
=> Add worker SGDMWorker(index=7, momentum=0.9)
=> Add worker SGDMWorker(index=8, momentum=0.9)
=> Add worker SGDMWorker(index=9, momentum=0.9)
=> Add worker SGDMWorker(index=10, momentum=0.9)
=> Add worker ByzantineWorker(index=11)

=== Start adding graph ===
TwoCliquesWithByzantine(m=5,b=1)

Train epoch 1
[E 1B0  |    384/60000 (  1%) ] Loss: 2.3142 top1=  7.6705

=== Peeking data label distribution E1B0 ===
Worker 0 has targets: tensor([0, 0, 0, 0, 0], device='cuda:0')
Worker 1 has targets: tensor([1, 1, 1, 0, 1], device='cuda:0')
Worker 2 has targets: tensor([1, 1, 2, 1, 1], device='cuda:0')
Worker 3 has targets: tensor([2, 2, 3, 2, 2], device='cuda:0')
Worker 4 has targets: tensor([3, 3, 3, 3, 3], device='cuda:0')
Worker 5 has targets: tensor([4, 4, 4, 4, 4], device='cuda:0')
Worker 6 has targets: tensor([5, 5, 5, 5, 5], device='cuda:0')
Worker 7 has targets: tensor([6, 6, 6, 5, 6], device='cuda:0')
Worker 8 has targets: tensor([6, 7, 7, 6, 6], device='cuda:0')
Worker 9 has targets: tensor([7, 7, 8, 7, 7], device='cuda:0')
Worker 10 has targets: tensor([8, 8, 9, 8, 8], device='cuda:0')
Worker 11 has targets: tensor([9, 9, 9, 9, 9], device='cuda:0')



=== Log global consensus distance @ E1B0 ===
consensus_distance=0.000



=== Log clique consensus distance @ E1B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.000



=== Log mixing matrix @ E1B0 ===
[[0.167 0.167 0.167 0.167 0.167 0.    0.    0.    0.    0.    0.167 0.   ]
 [0.167 0.233 0.2   0.2   0.2   0.    0.    0.    0.    0.    0.    0.   ]
 [0.167 0.2   0.233 0.2   0.2   0.    0.    0.    0.    0.    0.    0.   ]
 [0.167 0.2   0.2   0.233 0.2   0.    0.    0.    0.    0.    0.    0.   ]
 [0.167 0.2   0.2   0.2   0.233 0.    0.    0.    0.    0.    0.    0.   ]
 [0.    0.    0.    0.    0.    0.233 0.2   0.2   0.2   0.167 0.    0.   ]
 [0.    0.    0.    0.    0.    0.2   0.233 0.2   0.2   0.167 0.    0.   ]
 [0.    0.    0.    0.    0.    0.2   0.2   0.233 0.2   0.167 0.    0.   ]
 [0.    0.    0.    0.    0.    0.2   0.2   0.2   0.233 0.167 0.    0.   ]
 [0.    0.    0.    0.    0.    0.167 0.167 0.167 0.167 0.167 0.167 0.   ]
 [0.167 0.    0.    0.    0.    0.    0.    0.    0.    0.167 0.417 0.25 ]
 [0.    0.    0.    0.    0.    0.    0.    0.    0.    0.    0.25  0.75 ]]


[E 1B10 |   4224/60000 (  7%) ] Loss: 2.1302 top1= 31.8182

=== Log global consensus distance @ E1B10 ===
consensus_distance=0.009



=== Log clique consensus distance @ E1B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.036


[E 1B20 |   8064/60000 ( 13%) ] Loss: 1.8399 top1= 40.6250

=== Log global consensus distance @ E1B20 ===
consensus_distance=0.052



=== Log clique consensus distance @ E1B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.209



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=2.2232 top1= 31.5605


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.7028 top1= 24.7696


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.4196 top1= 21.6346

Train epoch 2
[E 2B0  |    384/60000 (  1%) ] Loss: 1.6212 top1= 46.3068

=== Log global consensus distance @ E2B0 ===
consensus_distance=0.135



=== Log clique consensus distance @ E2B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.548


[E 2B10 |   4224/60000 (  7%) ] Loss: 1.5838 top1= 44.8864

=== Log global consensus distance @ E2B10 ===
consensus_distance=0.269



=== Log clique consensus distance @ E2B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=1.090


[E 2B20 |   8064/60000 ( 13%) ] Loss: 1.5670 top1= 54.8295

=== Log global consensus distance @ E2B20 ===
consensus_distance=0.488



=== Log clique consensus distance @ E2B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=1.988



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.9814 top1= 47.2656


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.0570 top1= 34.4752


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.1649 top1= 23.6378

Train epoch 3
[E 3B0  |    384/60000 (  1%) ] Loss: 1.3940 top1= 60.5114

=== Log global consensus distance @ E3B0 ===
consensus_distance=0.831



=== Log clique consensus distance @ E3B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=3.389


[E 3B10 |   4224/60000 (  7%) ] Loss: 1.2001 top1= 64.4886

=== Log global consensus distance @ E3B10 ===
consensus_distance=1.302



=== Log clique consensus distance @ E3B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=5.309


[E 3B20 |   8064/60000 ( 13%) ] Loss: 1.0495 top1= 71.5909

=== Log global consensus distance @ E3B20 ===
consensus_distance=1.878



=== Log clique consensus distance @ E3B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=7.643



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.7695 top1= 50.4607


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.0504 top1= 33.3033


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.1625 top1= 28.4555

Train epoch 4
[E 4B0  |    384/60000 (  1%) ] Loss: 0.9732 top1= 72.7273

=== Log global consensus distance @ E4B0 ===
consensus_distance=2.527



=== Log clique consensus distance @ E4B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=10.274


[E 4B10 |   4224/60000 (  7%) ] Loss: 0.9781 top1= 73.2955

=== Log global consensus distance @ E4B10 ===
consensus_distance=3.260



=== Log clique consensus distance @ E4B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=13.250


[E 4B20 |   8064/60000 ( 13%) ] Loss: 0.8545 top1= 77.8409

=== Log global consensus distance @ E4B20 ===
consensus_distance=4.064



=== Log clique consensus distance @ E4B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=16.494



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.6637 top1= 54.7776


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.0173 top1= 37.7604


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.1332 top1= 32.9327

Train epoch 5
[E 5B0  |    384/60000 (  1%) ] Loss: 0.7499 top1= 81.5341

=== Log global consensus distance @ E5B0 ===
consensus_distance=4.862



=== Log clique consensus distance @ E5B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=19.718


[E 5B10 |   4224/60000 (  7%) ] Loss: 0.7166 top1= 81.8182

=== Log global consensus distance @ E5B10 ===
consensus_distance=5.710



=== Log clique consensus distance @ E5B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=23.150


[E 5B20 |   8064/60000 ( 13%) ] Loss: 0.7188 top1= 82.3864

=== Log global consensus distance @ E5B20 ===
consensus_distance=6.578



=== Log clique consensus distance @ E5B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=26.646



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.6272 top1= 43.2592


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=1.9673 top1= 38.7520


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.1106 top1= 34.7957

Train epoch 6
[E 6B0  |    384/60000 (  1%) ] Loss: 0.6589 top1= 84.6591

=== Log global consensus distance @ E6B0 ===
consensus_distance=7.434



=== Log clique consensus distance @ E6B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=30.108


[E 6B10 |   4224/60000 (  7%) ] Loss: 0.5726 top1= 86.0795

=== Log global consensus distance @ E6B10 ===
consensus_distance=8.350



=== Log clique consensus distance @ E6B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=33.810


[E 6B20 |   8064/60000 ( 13%) ] Loss: 0.6504 top1= 82.6705

=== Log global consensus distance @ E6B20 ===
consensus_distance=9.232



=== Log clique consensus distance @ E6B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=37.356



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.6577 top1= 37.7604


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.0905 top1= 40.8153


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.1293 top1= 35.5669

Train epoch 7
[E 7B0  |    384/60000 (  1%) ] Loss: 0.6003 top1= 85.7955

=== Log global consensus distance @ E7B0 ===
consensus_distance=10.121



=== Log clique consensus distance @ E7B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=40.956


[E 7B10 |   4224/60000 (  7%) ] Loss: 0.5154 top1= 88.0682

=== Log global consensus distance @ E7B10 ===
consensus_distance=11.081



=== Log clique consensus distance @ E7B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=44.830


[E 7B20 |   8064/60000 ( 13%) ] Loss: 0.6008 top1= 85.7955

=== Log global consensus distance @ E7B20 ===
consensus_distance=11.998



=== Log clique consensus distance @ E7B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=48.518



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.6971 top1= 35.8874


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.1399 top1= 43.3093


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.1391 top1= 35.7071

Train epoch 8
[E 8B0  |    384/60000 (  1%) ] Loss: 0.5528 top1= 86.3636

=== Log global consensus distance @ E8B0 ===
consensus_distance=12.943



=== Log clique consensus distance @ E8B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=52.344


[E 8B10 |   4224/60000 (  7%) ] Loss: 0.4701 top1= 88.6364

=== Log global consensus distance @ E8B10 ===
consensus_distance=13.953



=== Log clique consensus distance @ E8B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=56.422


[E 8B20 |   8064/60000 ( 13%) ] Loss: 0.5494 top1= 87.2159

=== Log global consensus distance @ E8B20 ===
consensus_distance=14.921



=== Log clique consensus distance @ E8B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=60.315



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.7789 top1= 31.0497


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.1687 top1= 44.2608


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.1805 top1= 35.9175

Train epoch 9
[E 9B0  |    384/60000 (  1%) ] Loss: 0.4612 top1= 89.4886

=== Log global consensus distance @ E9B0 ===
consensus_distance=15.900



=== Log clique consensus distance @ E9B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=64.279


[E 9B10 |   4224/60000 (  7%) ] Loss: 0.4369 top1= 88.0682

=== Log global consensus distance @ E9B10 ===
consensus_distance=16.965



=== Log clique consensus distance @ E9B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=68.584


[E 9B20 |   8064/60000 ( 13%) ] Loss: 0.4774 top1= 89.4886

=== Log global consensus distance @ E9B20 ===
consensus_distance=18.037



=== Log clique consensus distance @ E9B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=72.902



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.8685 top1= 27.5841


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.2378 top1= 43.9103


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.2159 top1= 35.9075

Train epoch 10
[E10B0  |    384/60000 (  1%) ] Loss: 0.4492 top1= 88.6364

=== Log global consensus distance @ E10B0 ===
consensus_distance=19.201



=== Log clique consensus distance @ E10B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=77.626


[E10B10 |   4224/60000 (  7%) ] Loss: 0.4512 top1= 87.7841

=== Log global consensus distance @ E10B10 ===
consensus_distance=20.499



=== Log clique consensus distance @ E10B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=82.877


[E10B20 |   8064/60000 ( 13%) ] Loss: 0.4893 top1= 87.5000

=== Log global consensus distance @ E10B20 ===
consensus_distance=21.906



=== Log clique consensus distance @ E10B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=88.564



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.9104 top1= 28.6759


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.3351 top1= 43.7400


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.3925 top1= 36.1879

