
=== 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: 2.0768 top1= 42.8977

=== Log global consensus distance @ E1B10 ===
consensus_distance=0.031



=== Log clique consensus distance @ E1B10 ===
clique1_consensus_distance=0.001
clique2_consensus_distance=0.031


[E 1B20 |   8064/60000 ( 13%) ] Loss: 1.7645 top1= 50.2841

=== Log global consensus distance @ E1B20 ===
consensus_distance=0.092



=== Log clique consensus distance @ E1B20 ===
clique1_consensus_distance=0.004
clique2_consensus_distance=0.145



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=2.2114 top1=  9.7456


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.3892 top1= 28.6558


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.3211 top1= 30.9896

Train epoch 2
[E 2B0  |    384/60000 (  1%) ] Loss: 1.4509 top1= 57.6705

=== Log global consensus distance @ E2B0 ===
consensus_distance=0.130



=== Log clique consensus distance @ E2B0 ===
clique1_consensus_distance=0.004
clique2_consensus_distance=0.312


[E 2B10 |   4224/60000 (  7%) ] Loss: 1.1697 top1= 65.0568

=== Log global consensus distance @ E2B10 ===
consensus_distance=0.161



=== Log clique consensus distance @ E2B10 ===
clique1_consensus_distance=0.004
clique2_consensus_distance=0.455


[E 2B20 |   8064/60000 ( 13%) ] Loss: 0.9411 top1= 76.1364

=== Log global consensus distance @ E2B20 ===
consensus_distance=0.176



=== Log clique consensus distance @ E2B20 ===
clique1_consensus_distance=0.004
clique2_consensus_distance=0.521



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.8793 top1= 31.8810


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.6935 top1= 38.6619


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.7345 top1= 35.4567

Train epoch 3
[E 3B0  |    384/60000 (  1%) ] Loss: 0.7172 top1= 84.6591

=== Log global consensus distance @ E3B0 ===
consensus_distance=0.180



=== Log clique consensus distance @ E3B0 ===
clique1_consensus_distance=0.004
clique2_consensus_distance=0.544


[E 3B10 |   4224/60000 (  7%) ] Loss: 0.6131 top1= 87.5000

=== Log global consensus distance @ E3B10 ===
consensus_distance=0.179



=== Log clique consensus distance @ E3B10 ===
clique1_consensus_distance=0.004
clique2_consensus_distance=0.538


[E 3B20 |   8064/60000 ( 13%) ] Loss: 0.5405 top1= 88.0682

=== Log global consensus distance @ E3B20 ===
consensus_distance=0.173



=== Log clique consensus distance @ E3B20 ===
clique1_consensus_distance=0.004
clique2_consensus_distance=0.515



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.4334 top1= 63.1611


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.4990 top1= 39.1326


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.6932 top1= 38.1010

Train epoch 4
[E 4B0  |    384/60000 (  1%) ] Loss: 0.3928 top1= 92.3295

=== Log global consensus distance @ E4B0 ===
consensus_distance=0.166



=== Log clique consensus distance @ E4B0 ===
clique1_consensus_distance=0.004
clique2_consensus_distance=0.486


[E 4B10 |   4224/60000 (  7%) ] Loss: 0.4017 top1= 90.9091

=== Log global consensus distance @ E4B10 ===
consensus_distance=0.157



=== Log clique consensus distance @ E4B10 ===
clique1_consensus_distance=0.004
clique2_consensus_distance=0.447


[E 4B20 |   8064/60000 ( 13%) ] Loss: 0.4063 top1= 90.0568

=== Log global consensus distance @ E4B20 ===
consensus_distance=0.148



=== Log clique consensus distance @ E4B20 ===
clique1_consensus_distance=0.004
clique2_consensus_distance=0.407



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.1496 top1= 69.5513


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.3320 top1= 39.6835


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.6477 top1= 41.0657

Train epoch 5
[E 5B0  |    384/60000 (  1%) ] Loss: 0.3021 top1= 94.0341

=== Log global consensus distance @ E5B0 ===
consensus_distance=0.141



=== Log clique consensus distance @ E5B0 ===
clique1_consensus_distance=0.004
clique2_consensus_distance=0.378


[E 5B10 |   4224/60000 (  7%) ] Loss: 0.3339 top1= 92.0455

=== Log global consensus distance @ E5B10 ===
consensus_distance=0.134



=== Log clique consensus distance @ E5B10 ===
clique1_consensus_distance=0.004
clique2_consensus_distance=0.351


[E 5B20 |   8064/60000 ( 13%) ] Loss: 0.3552 top1= 90.0568

=== Log global consensus distance @ E5B20 ===
consensus_distance=0.129



=== Log clique consensus distance @ E5B20 ===
clique1_consensus_distance=0.003
clique2_consensus_distance=0.328



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.0294 top1= 68.4896


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.3279 top1= 42.8185


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.6847 top1= 42.0072

Train epoch 6
[E 6B0  |    384/60000 (  1%) ] Loss: 0.2807 top1= 93.4659

=== Log global consensus distance @ E6B0 ===
consensus_distance=0.126



=== Log clique consensus distance @ E6B0 ===
clique1_consensus_distance=0.003
clique2_consensus_distance=0.317


[E 6B10 |   4224/60000 (  7%) ] Loss: 0.3090 top1= 92.0455

=== Log global consensus distance @ E6B10 ===
consensus_distance=0.124



=== Log clique consensus distance @ E6B10 ===
clique1_consensus_distance=0.003
clique2_consensus_distance=0.309


[E 6B20 |   8064/60000 ( 13%) ] Loss: 0.3321 top1= 92.0455

=== Log global consensus distance @ E6B20 ===
consensus_distance=0.122



=== Log clique consensus distance @ E6B20 ===
clique1_consensus_distance=0.003
clique2_consensus_distance=0.303



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.0572 top1= 62.7003


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.4283 top1= 44.6815


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.8706 top1= 42.3377

Train epoch 7
[E 7B0  |    384/60000 (  1%) ] Loss: 0.2827 top1= 93.4659

=== Log global consensus distance @ E7B0 ===
consensus_distance=0.123



=== Log clique consensus distance @ E7B0 ===
clique1_consensus_distance=0.003
clique2_consensus_distance=0.308


[E 7B10 |   4224/60000 (  7%) ] Loss: 0.2971 top1= 90.9091

=== Log global consensus distance @ E7B10 ===
consensus_distance=0.125



=== Log clique consensus distance @ E7B10 ===
clique1_consensus_distance=0.003
clique2_consensus_distance=0.318


[E 7B20 |   8064/60000 ( 13%) ] Loss: 0.3260 top1= 92.3295

=== Log global consensus distance @ E7B20 ===
consensus_distance=0.127



=== Log clique consensus distance @ E7B20 ===
clique1_consensus_distance=0.003
clique2_consensus_distance=0.327



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.2051 top1= 59.3450


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.5981 top1= 45.8133


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=3.2316 top1= 42.2977

Train epoch 8
[E 8B0  |    384/60000 (  1%) ] Loss: 0.2934 top1= 93.7500

=== Log global consensus distance @ E8B0 ===
consensus_distance=0.130



=== Log clique consensus distance @ E8B0 ===
clique1_consensus_distance=0.003
clique2_consensus_distance=0.345


[E 8B10 |   4224/60000 (  7%) ] Loss: 0.2843 top1= 92.0455

=== Log global consensus distance @ E8B10 ===
consensus_distance=0.135



=== Log clique consensus distance @ E8B10 ===
clique1_consensus_distance=0.003
clique2_consensus_distance=0.368


[E 8B20 |   8064/60000 ( 13%) ] Loss: 0.3282 top1= 92.6136

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



=== Log clique consensus distance @ E8B20 ===
clique1_consensus_distance=0.003
clique2_consensus_distance=0.388



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.3939 top1= 58.1430


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.7730 top1= 46.2039


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=3.7163 top1= 42.3578

Train epoch 9
[E 9B0  |    384/60000 (  1%) ] Loss: 0.2994 top1= 93.1818

=== Log global consensus distance @ E9B0 ===
consensus_distance=0.144



=== Log clique consensus distance @ E9B0 ===
clique1_consensus_distance=0.003
clique2_consensus_distance=0.409


[E 9B10 |   4224/60000 (  7%) ] Loss: 0.2676 top1= 92.0455

=== Log global consensus distance @ E9B10 ===
consensus_distance=0.149



=== Log clique consensus distance @ E9B10 ===
clique1_consensus_distance=0.003
clique2_consensus_distance=0.435


[E 9B20 |   8064/60000 ( 13%) ] Loss: 0.3293 top1= 92.3295

=== Log global consensus distance @ E9B20 ===
consensus_distance=0.154



=== Log clique consensus distance @ E9B20 ===
clique1_consensus_distance=0.004
clique2_consensus_distance=0.455



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.5889 top1= 57.8526


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.9157 top1= 46.3942


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=4.2031 top1= 42.4679

Train epoch 10
[E10B0  |    384/60000 (  1%) ] Loss: 0.2973 top1= 93.4659

=== Log global consensus distance @ E10B0 ===
consensus_distance=0.158



=== Log clique consensus distance @ E10B0 ===
clique1_consensus_distance=0.004
clique2_consensus_distance=0.475


[E10B10 |   4224/60000 (  7%) ] Loss: 0.2494 top1= 92.6136

=== Log global consensus distance @ E10B10 ===
consensus_distance=0.163



=== Log clique consensus distance @ E10B10 ===
clique1_consensus_distance=0.004
clique2_consensus_distance=0.498


[E10B20 |   8064/60000 ( 13%) ] Loss: 0.3376 top1= 91.4773

=== Log global consensus distance @ E10B20 ===
consensus_distance=0.167



=== Log clique consensus distance @ E10B20 ===
clique1_consensus_distance=0.004
clique2_consensus_distance=0.515



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.7626 top1= 57.7524


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.9946 top1= 46.6747


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=4.6669 top1= 42.7684

