
=== 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 BitFlippingWorker

=== 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=1.622



=== 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: 2.1629 top1= 33.8068

=== Log global consensus distance @ E1B10 ===
consensus_distance=1.254



=== Log clique consensus distance @ E1B10 ===
clique1_consensus_distance=0.068
clique2_consensus_distance=0.094


[E 1B20 |   8064/60000 ( 13%) ] Loss: 2.0479 top1= 33.5227

=== Log global consensus distance @ E1B20 ===
consensus_distance=0.954



=== Log clique consensus distance @ E1B20 ===
clique1_consensus_distance=0.052
clique2_consensus_distance=0.154



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=2.2744 top1= 13.0809


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.3146 top1= 10.7672


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.3007 top1= 20.4828

Train epoch 2
[E 2B0  |    384/60000 (  1%) ] Loss: 1.9602 top1= 36.6477

=== Log global consensus distance @ E2B0 ===
consensus_distance=0.745



=== Log clique consensus distance @ E2B0 ===
clique1_consensus_distance=0.040
clique2_consensus_distance=0.217


[E 2B10 |   4224/60000 (  7%) ] Loss: 1.9016 top1= 41.1932

=== Log global consensus distance @ E2B10 ===
consensus_distance=0.590



=== Log clique consensus distance @ E2B10 ===
clique1_consensus_distance=0.031
clique2_consensus_distance=0.268


[E 2B20 |   8064/60000 ( 13%) ] Loss: 1.8527 top1= 40.3409

=== Log global consensus distance @ E2B20 ===
consensus_distance=0.474



=== Log clique consensus distance @ E2B20 ===
clique1_consensus_distance=0.024
clique2_consensus_distance=0.312



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=2.2770 top1= 16.5365


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.4327 top1= 25.6711


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.3421 top1= 14.5833

Train epoch 3
[E 3B0  |    384/60000 (  1%) ] Loss: 1.7952 top1= 40.9091

=== Log global consensus distance @ E3B0 ===
consensus_distance=0.389



=== Log clique consensus distance @ E3B0 ===
clique1_consensus_distance=0.018
clique2_consensus_distance=0.353


[E 3B10 |   4224/60000 (  7%) ] Loss: 1.7588 top1= 40.6250

=== Log global consensus distance @ E3B10 ===
consensus_distance=0.325



=== Log clique consensus distance @ E3B10 ===
clique1_consensus_distance=0.014
clique2_consensus_distance=0.387


[E 3B20 |   8064/60000 ( 13%) ] Loss: 1.7256 top1= 42.0455

=== Log global consensus distance @ E3B20 ===
consensus_distance=0.277



=== Log clique consensus distance @ E3B20 ===
clique1_consensus_distance=0.011
clique2_consensus_distance=0.409



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=2.2770 top1= 28.2452


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.5316 top1= 29.0665


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.4235 top1=  9.5753

Train epoch 4
[E 4B0  |    384/60000 (  1%) ] Loss: 1.6723 top1= 45.4545

=== Log global consensus distance @ E4B0 ===
consensus_distance=0.240



=== Log clique consensus distance @ E4B0 ===
clique1_consensus_distance=0.009
clique2_consensus_distance=0.427


[E 4B10 |   4224/60000 (  7%) ] Loss: 1.6505 top1= 44.6023

=== Log global consensus distance @ E4B10 ===
consensus_distance=0.212



=== Log clique consensus distance @ E4B10 ===
clique1_consensus_distance=0.007
clique2_consensus_distance=0.437


[E 4B20 |   8064/60000 ( 13%) ] Loss: 1.6297 top1= 47.1591

=== Log global consensus distance @ E4B20 ===
consensus_distance=0.190



=== Log clique consensus distance @ E4B20 ===
clique1_consensus_distance=0.006
clique2_consensus_distance=0.442



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=2.2723 top1= 39.1126


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.5808 top1= 33.9543


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.5150 top1=  9.5753

Train epoch 5
[E 5B0  |    384/60000 (  1%) ] Loss: 1.5771 top1= 51.4205

=== Log global consensus distance @ E5B0 ===
consensus_distance=0.174



=== Log clique consensus distance @ E5B0 ===
clique1_consensus_distance=0.005
clique2_consensus_distance=0.447


[E 5B10 |   4224/60000 (  7%) ] Loss: 1.5675 top1= 52.2727

=== Log global consensus distance @ E5B10 ===
consensus_distance=0.161



=== Log clique consensus distance @ E5B10 ===
clique1_consensus_distance=0.004
clique2_consensus_distance=0.449


[E 5B20 |   8064/60000 ( 13%) ] Loss: 1.5538 top1= 55.1136

=== Log global consensus distance @ E5B20 ===
consensus_distance=0.151



=== Log clique consensus distance @ E5B20 ===
clique1_consensus_distance=0.004
clique2_consensus_distance=0.451



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=2.2613 top1= 37.3698


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.5952 top1= 37.5000


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.5550 top1= 10.9776

Train epoch 6
[E 6B0  |    384/60000 (  1%) ] Loss: 1.4948 top1= 54.5455

=== Log global consensus distance @ E6B0 ===
consensus_distance=0.146



=== Log clique consensus distance @ E6B0 ===
clique1_consensus_distance=0.003
clique2_consensus_distance=0.457


[E 6B10 |   4224/60000 (  7%) ] Loss: 1.4895 top1= 55.3977

=== Log global consensus distance @ E6B10 ===
consensus_distance=0.141



=== Log clique consensus distance @ E6B10 ===
clique1_consensus_distance=0.003
clique2_consensus_distance=0.463


[E 6B20 |   8064/60000 ( 13%) ] Loss: 1.4747 top1= 59.0909

=== Log global consensus distance @ E6B20 ===
consensus_distance=0.139



=== Log clique consensus distance @ E6B20 ===
clique1_consensus_distance=0.003
clique2_consensus_distance=0.469



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=2.2444 top1= 37.6603


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.5786 top1= 37.9708


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.5715 top1= 15.1943

Train epoch 7
[E 7B0  |    384/60000 (  1%) ] Loss: 1.4074 top1= 57.1023

=== Log global consensus distance @ E7B0 ===
consensus_distance=0.138



=== Log clique consensus distance @ E7B0 ===
clique1_consensus_distance=0.003
clique2_consensus_distance=0.478


[E 7B10 |   4224/60000 (  7%) ] Loss: 1.4059 top1= 58.8068

=== Log global consensus distance @ E7B10 ===
consensus_distance=0.137



=== Log clique consensus distance @ E7B10 ===
clique1_consensus_distance=0.003
clique2_consensus_distance=0.485


[E 7B20 |   8064/60000 ( 13%) ] Loss: 1.3933 top1= 63.6364

=== Log global consensus distance @ E7B20 ===
consensus_distance=0.137



=== Log clique consensus distance @ E7B20 ===
clique1_consensus_distance=0.003
clique2_consensus_distance=0.492



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=2.2244 top1= 40.7552


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.5334 top1= 38.3013


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.5798 top1= 18.1490

Train epoch 8
[E 8B0  |    384/60000 (  1%) ] Loss: 1.3252 top1= 62.7841

=== Log global consensus distance @ E8B0 ===
consensus_distance=0.138



=== Log clique consensus distance @ E8B0 ===
clique1_consensus_distance=0.003
clique2_consensus_distance=0.499


[E 8B10 |   4224/60000 (  7%) ] Loss: 1.3274 top1= 65.3409

=== Log global consensus distance @ E8B10 ===
consensus_distance=0.138



=== Log clique consensus distance @ E8B10 ===
clique1_consensus_distance=0.003
clique2_consensus_distance=0.505


[E 8B20 |   8064/60000 ( 13%) ] Loss: 1.3207 top1= 66.4773

=== Log global consensus distance @ E8B20 ===
consensus_distance=0.139



=== Log clique consensus distance @ E8B20 ===
clique1_consensus_distance=0.003
clique2_consensus_distance=0.509



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=2.2037 top1= 42.8786


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.4787 top1= 38.5917


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.5828 top1= 20.9034

Train epoch 9
[E 9B0  |    384/60000 (  1%) ] Loss: 1.2549 top1= 67.3295

=== Log global consensus distance @ E9B0 ===
consensus_distance=0.140



=== Log clique consensus distance @ E9B0 ===
clique1_consensus_distance=0.003
clique2_consensus_distance=0.513


[E 9B10 |   4224/60000 (  7%) ] Loss: 1.2570 top1= 69.6023

=== Log global consensus distance @ E9B10 ===
consensus_distance=0.141



=== Log clique consensus distance @ E9B10 ===
clique1_consensus_distance=0.003
clique2_consensus_distance=0.517


[E 9B20 |   8064/60000 ( 13%) ] Loss: 1.2557 top1= 68.7500

=== Log global consensus distance @ E9B20 ===
consensus_distance=0.141



=== Log clique consensus distance @ E9B20 ===
clique1_consensus_distance=0.003
clique2_consensus_distance=0.519



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=2.1820 top1= 44.2909


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.4312 top1= 38.7720


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.5816 top1= 24.0084

Train epoch 10
[E10B0  |    384/60000 (  1%) ] Loss: 1.1909 top1= 71.5909

=== Log global consensus distance @ E10B0 ===
consensus_distance=0.142



=== Log clique consensus distance @ E10B0 ===
clique1_consensus_distance=0.003
clique2_consensus_distance=0.522


[E10B10 |   4224/60000 (  7%) ] Loss: 1.1903 top1= 73.2955

=== Log global consensus distance @ E10B10 ===
consensus_distance=0.142



=== Log clique consensus distance @ E10B10 ===
clique1_consensus_distance=0.003
clique2_consensus_distance=0.524


[E10B20 |   8064/60000 ( 13%) ] Loss: 1.1927 top1= 71.3068

=== Log global consensus distance @ E10B20 ===
consensus_distance=0.143



=== Log clique consensus distance @ E10B20 ===
clique1_consensus_distance=0.003
clique2_consensus_distance=0.525



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=2.1582 top1= 46.0537


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.3959 top1= 38.9223


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.5746 top1= 27.7744

