
=== 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=0.491



=== 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: 2.1586 top1= 33.8068

=== Log global consensus distance @ E1B10 ===
consensus_distance=1.265



=== Log clique consensus distance @ E1B10 ===
clique1_consensus_distance=0.071
clique2_consensus_distance=0.098


[E 1B20 |   8064/60000 ( 13%) ] Loss: 2.0399 top1= 33.5227

=== Log global consensus distance @ E1B20 ===
consensus_distance=0.975



=== Log clique consensus distance @ E1B20 ===
clique1_consensus_distance=0.054
clique2_consensus_distance=0.158



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=2.2733 top1= 13.3614


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.3167 top1= 10.9275


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.3012 top1= 20.7732

Train epoch 2
[E 2B0  |    384/60000 (  1%) ] Loss: 1.9500 top1= 36.9318

=== Log global consensus distance @ E2B0 ===
consensus_distance=0.762



=== Log clique consensus distance @ E2B0 ===
clique1_consensus_distance=0.041
clique2_consensus_distance=0.222


[E 2B10 |   4224/60000 (  7%) ] Loss: 1.8908 top1= 41.4773

=== Log global consensus distance @ E2B10 ===
consensus_distance=0.602



=== Log clique consensus distance @ E2B10 ===
clique1_consensus_distance=0.031
clique2_consensus_distance=0.274


[E 2B20 |   8064/60000 ( 13%) ] Loss: 1.8417 top1= 40.9091

=== Log global consensus distance @ E2B20 ===
consensus_distance=0.483



=== Log clique consensus distance @ E2B20 ===
clique1_consensus_distance=0.024
clique2_consensus_distance=0.318



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=2.2760 top1= 17.3177


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.4370 top1= 26.5425


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.3454 top1= 14.5933

Train epoch 3
[E 3B0  |    384/60000 (  1%) ] Loss: 1.7845 top1= 41.4773

=== Log global consensus distance @ E3B0 ===
consensus_distance=0.396



=== Log clique consensus distance @ E3B0 ===
clique1_consensus_distance=0.019
clique2_consensus_distance=0.359


[E 3B10 |   4224/60000 (  7%) ] Loss: 1.7494 top1= 41.7614

=== Log global consensus distance @ E3B10 ===
consensus_distance=0.330



=== Log clique consensus distance @ E3B10 ===
clique1_consensus_distance=0.015
clique2_consensus_distance=0.392


[E 3B20 |   8064/60000 ( 13%) ] Loss: 1.7172 top1= 42.6136

=== Log global consensus distance @ E3B20 ===
consensus_distance=0.280



=== Log clique consensus distance @ E3B20 ===
clique1_consensus_distance=0.011
clique2_consensus_distance=0.414



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=2.2760 top1= 29.1066


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.5317 top1= 29.2368


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.4288 top1=  9.5753

Train epoch 4
[E 4B0  |    384/60000 (  1%) ] Loss: 1.6646 top1= 46.0227

=== Log global consensus distance @ E4B0 ===
consensus_distance=0.243



=== Log clique consensus distance @ E4B0 ===
clique1_consensus_distance=0.009
clique2_consensus_distance=0.431


[E 4B10 |   4224/60000 (  7%) ] Loss: 1.6442 top1= 44.6023

=== Log global consensus distance @ E4B10 ===
consensus_distance=0.214



=== Log clique consensus distance @ E4B10 ===
clique1_consensus_distance=0.007
clique2_consensus_distance=0.440


[E 4B20 |   8064/60000 ( 13%) ] Loss: 1.6244 top1= 48.5795

=== Log global consensus distance @ E4B20 ===
consensus_distance=0.191



=== Log clique consensus distance @ E4B20 ===
clique1_consensus_distance=0.006
clique2_consensus_distance=0.444



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=2.2711 top1= 39.7035


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.5790 top1= 34.3249


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.5163 top1=  9.5753

Train epoch 5
[E 5B0  |    384/60000 (  1%) ] Loss: 1.5720 top1= 52.2727

=== Log global consensus distance @ E5B0 ===
consensus_distance=0.175



=== Log clique consensus distance @ E5B0 ===
clique1_consensus_distance=0.005
clique2_consensus_distance=0.450


[E 5B10 |   4224/60000 (  7%) ] Loss: 1.5630 top1= 52.5568

=== Log global consensus distance @ E5B10 ===
consensus_distance=0.162



=== Log clique consensus distance @ E5B10 ===
clique1_consensus_distance=0.004
clique2_consensus_distance=0.452


[E 5B20 |   8064/60000 ( 13%) ] Loss: 1.5494 top1= 55.1136

=== Log global consensus distance @ E5B20 ===
consensus_distance=0.153



=== Log clique consensus distance @ E5B20 ===
clique1_consensus_distance=0.004
clique2_consensus_distance=0.454



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=2.2600 top1= 38.1210


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.5923 top1= 37.5901


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.5541 top1= 11.3782

Train epoch 6
[E 6B0  |    384/60000 (  1%) ] Loss: 1.4903 top1= 54.8295

=== Log global consensus distance @ E6B0 ===
consensus_distance=0.147



=== Log clique consensus distance @ E6B0 ===
clique1_consensus_distance=0.003
clique2_consensus_distance=0.460


[E 6B10 |   4224/60000 (  7%) ] Loss: 1.4854 top1= 55.6818

=== Log global consensus distance @ E6B10 ===
consensus_distance=0.142



=== Log clique consensus distance @ E6B10 ===
clique1_consensus_distance=0.003
clique2_consensus_distance=0.466


[E 6B20 |   8064/60000 ( 13%) ] Loss: 1.4709 top1= 59.3750

=== Log global consensus distance @ E6B20 ===
consensus_distance=0.140



=== Log clique consensus distance @ E6B20 ===
clique1_consensus_distance=0.003
clique2_consensus_distance=0.472



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=2.2432 top1= 38.2512


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.5745 top1= 37.9908


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.5701 top1= 15.4347

Train epoch 7
[E 7B0  |    384/60000 (  1%) ] Loss: 1.4038 top1= 58.2386

=== Log global consensus distance @ E7B0 ===
consensus_distance=0.139



=== Log clique consensus distance @ E7B0 ===
clique1_consensus_distance=0.003
clique2_consensus_distance=0.481


[E 7B10 |   4224/60000 (  7%) ] Loss: 1.4028 top1= 59.3750

=== Log global consensus distance @ E7B10 ===
consensus_distance=0.138



=== Log clique consensus distance @ E7B10 ===
clique1_consensus_distance=0.003
clique2_consensus_distance=0.488


[E 7B20 |   8064/60000 ( 13%) ] Loss: 1.3909 top1= 63.6364

=== Log global consensus distance @ E7B20 ===
consensus_distance=0.138



=== Log clique consensus distance @ E7B20 ===
clique1_consensus_distance=0.003
clique2_consensus_distance=0.495



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=2.2236 top1= 41.2059


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.5292 top1= 38.3213


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.5781 top1= 18.2993

Train epoch 8
[E 8B0  |    384/60000 (  1%) ] Loss: 1.3233 top1= 63.6364

=== Log global consensus distance @ E8B0 ===
consensus_distance=0.139



=== Log clique consensus distance @ E8B0 ===
clique1_consensus_distance=0.003
clique2_consensus_distance=0.502


[E 8B10 |   4224/60000 (  7%) ] Loss: 1.3257 top1= 66.4773

=== Log global consensus distance @ E8B10 ===
consensus_distance=0.139



=== Log clique consensus distance @ E8B10 ===
clique1_consensus_distance=0.003
clique2_consensus_distance=0.507


[E 8B20 |   8064/60000 ( 13%) ] Loss: 1.3197 top1= 66.4773

=== Log global consensus distance @ E8B20 ===
consensus_distance=0.140



=== Log clique consensus distance @ E8B20 ===
clique1_consensus_distance=0.003
clique2_consensus_distance=0.511



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=2.2034 top1= 43.1691


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.4755 top1= 38.6018


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.5809 top1= 20.9836

Train epoch 9
[E 9B0  |    384/60000 (  1%) ] Loss: 1.2544 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=0.516


[E 9B10 |   4224/60000 (  7%) ] Loss: 1.2567 top1= 69.8864

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



=== Log clique consensus distance @ E9B10 ===
clique1_consensus_distance=0.003
clique2_consensus_distance=0.520


[E 9B20 |   8064/60000 ( 13%) ] Loss: 1.2559 top1= 69.3182

=== Log global consensus distance @ E9B20 ===
consensus_distance=0.142



=== Log clique consensus distance @ E9B20 ===
clique1_consensus_distance=0.003
clique2_consensus_distance=0.521



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=2.1823 top1= 44.5813


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.4292 top1= 38.7821


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.5796 top1= 24.0885

Train epoch 10
[E10B0  |    384/60000 (  1%) ] Loss: 1.1915 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=0.524


[E10B10 |   4224/60000 (  7%) ] Loss: 1.1912 top1= 73.8636

=== Log global consensus distance @ E10B10 ===
consensus_distance=0.143



=== Log clique consensus distance @ E10B10 ===
clique1_consensus_distance=0.003
clique2_consensus_distance=0.527


[E10B20 |   8064/60000 ( 13%) ] Loss: 1.1940 top1= 71.5909

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



=== Log clique consensus distance @ E10B20 ===
clique1_consensus_distance=0.003
clique2_consensus_distance=0.527



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=2.1590 top1= 46.1839


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.3948 top1= 38.9323


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.5726 top1= 27.7845

