
=== 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: 2.0761 top1= 42.0455

=== Log global consensus distance @ E1B10 ===
consensus_distance=0.008



=== Log clique consensus distance @ E1B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.031


[E 1B20 |   8064/60000 ( 13%) ] Loss: 1.6989 top1= 52.2727

=== Log global consensus distance @ E1B20 ===
consensus_distance=0.035



=== Log clique consensus distance @ E1B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.146



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=2.1021 top1= 35.1863


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.6245 top1= 38.6218


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.4065 top1= 34.1546

Train epoch 2
[E 2B0  |    384/60000 (  1%) ] Loss: 1.2596 top1= 68.7500

=== Log global consensus distance @ E2B0 ===
consensus_distance=0.067



=== Log clique consensus distance @ E2B0 ===
clique1_consensus_distance=0.001
clique2_consensus_distance=0.280


[E 2B10 |   4224/60000 (  7%) ] Loss: 0.9600 top1= 76.1364

=== Log global consensus distance @ E2B10 ===
consensus_distance=0.087



=== Log clique consensus distance @ E2B10 ===
clique1_consensus_distance=0.001
clique2_consensus_distance=0.364


[E 2B20 |   8064/60000 ( 13%) ] Loss: 0.7136 top1= 84.9432

=== Log global consensus distance @ E2B20 ===
consensus_distance=0.094



=== Log clique consensus distance @ E2B20 ===
clique1_consensus_distance=0.001
clique2_consensus_distance=0.398



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.5455 top1= 66.2760


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.6783 top1= 39.2428


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.6490 top1= 35.6571

Train epoch 3
[E 3B0  |    384/60000 (  1%) ] Loss: 0.4879 top1= 90.6250

=== Log global consensus distance @ E3B0 ===
consensus_distance=0.095



=== Log clique consensus distance @ E3B0 ===
clique1_consensus_distance=0.001
clique2_consensus_distance=0.403


[E 3B10 |   4224/60000 (  7%) ] Loss: 0.4342 top1= 90.0568

=== Log global consensus distance @ E3B10 ===
consensus_distance=0.089



=== Log clique consensus distance @ E3B10 ===
clique1_consensus_distance=0.001
clique2_consensus_distance=0.375


[E 3B20 |   8064/60000 ( 13%) ] Loss: 0.3916 top1= 90.0568

=== Log global consensus distance @ E3B20 ===
consensus_distance=0.079



=== Log clique consensus distance @ E3B20 ===
clique1_consensus_distance=0.001
clique2_consensus_distance=0.333



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.1142 top1= 74.1987


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.1602 top1= 40.2244


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.3531 top1= 39.9038

Train epoch 4
[E 4B0  |    384/60000 (  1%) ] Loss: 0.2770 top1= 92.6136

=== Log global consensus distance @ E4B0 ===
consensus_distance=0.069



=== Log clique consensus distance @ E4B0 ===
clique1_consensus_distance=0.001
clique2_consensus_distance=0.293


[E 4B10 |   4224/60000 (  7%) ] Loss: 0.3038 top1= 92.6136

=== Log global consensus distance @ E4B10 ===
consensus_distance=0.060



=== Log clique consensus distance @ E4B10 ===
clique1_consensus_distance=0.001
clique2_consensus_distance=0.253


[E 4B20 |   8064/60000 ( 13%) ] Loss: 0.2915 top1= 92.0455

=== Log global consensus distance @ E4B20 ===
consensus_distance=0.052



=== Log clique consensus distance @ E4B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.217



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.9087 top1= 76.0717


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=1.8789 top1= 45.3125


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.1255 top1= 42.1274

Train epoch 5
[E 5B0  |    384/60000 (  1%) ] Loss: 0.2128 top1= 93.7500

=== Log global consensus distance @ E5B0 ===
consensus_distance=0.045



=== Log clique consensus distance @ E5B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.191


[E 5B10 |   4224/60000 (  7%) ] Loss: 0.2503 top1= 94.0341

=== Log global consensus distance @ E5B10 ===
consensus_distance=0.040



=== Log clique consensus distance @ E5B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.169


[E 5B20 |   8064/60000 ( 13%) ] Loss: 0.2403 top1= 94.0341

=== Log global consensus distance @ E5B20 ===
consensus_distance=0.036



=== Log clique consensus distance @ E5B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.149



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.7886 top1= 77.3037


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=1.7155 top1= 49.1286


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=1.9634 top1= 45.2324

Train epoch 6
[E 6B0  |    384/60000 (  1%) ] Loss: 0.1780 top1= 94.8864

=== Log global consensus distance @ E6B0 ===
consensus_distance=0.033



=== Log clique consensus distance @ E6B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.136


[E 6B10 |   4224/60000 (  7%) ] Loss: 0.2176 top1= 94.6023

=== Log global consensus distance @ E6B10 ===
consensus_distance=0.030



=== Log clique consensus distance @ E6B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.124


[E 6B20 |   8064/60000 ( 13%) ] Loss: 0.2081 top1= 94.3182

=== Log global consensus distance @ E6B20 ===
consensus_distance=0.027



=== Log clique consensus distance @ E6B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.113



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.7083 top1= 78.0749


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=1.6054 top1= 51.3221


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=1.8502 top1= 48.5477

Train epoch 7
[E 7B0  |    384/60000 (  1%) ] Loss: 0.1541 top1= 96.0227

=== Log global consensus distance @ E7B0 ===
consensus_distance=0.025



=== Log clique consensus distance @ E7B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.106


[E 7B10 |   4224/60000 (  7%) ] Loss: 0.1945 top1= 95.1705

=== Log global consensus distance @ E7B10 ===
consensus_distance=0.024



=== Log clique consensus distance @ E7B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.099


[E 7B20 |   8064/60000 ( 13%) ] Loss: 0.1846 top1= 94.0341

=== Log global consensus distance @ E7B20 ===
consensus_distance=0.022



=== Log clique consensus distance @ E7B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.092



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.6513 top1= 78.6058


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=1.5283 top1= 52.9147


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=1.7699 top1= 50.1803

Train epoch 8
[E 8B0  |    384/60000 (  1%) ] Loss: 0.1360 top1= 96.5909

=== Log global consensus distance @ E8B0 ===
consensus_distance=0.021



=== Log clique consensus distance @ E8B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.088


[E 8B10 |   4224/60000 (  7%) ] Loss: 0.1762 top1= 95.4545

=== Log global consensus distance @ E8B10 ===
consensus_distance=0.020



=== Log clique consensus distance @ E8B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.083


[E 8B20 |   8064/60000 ( 13%) ] Loss: 0.1661 top1= 94.6023

=== Log global consensus distance @ E8B20 ===
consensus_distance=0.019



=== Log clique consensus distance @ E8B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.078



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.6065 top1= 79.2869


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=1.4643 top1= 54.3470


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=1.7050 top1= 51.4423

Train epoch 9
[E 9B0  |    384/60000 (  1%) ] Loss: 0.1221 top1= 96.8750

=== Log global consensus distance @ E9B0 ===
consensus_distance=0.018



=== Log clique consensus distance @ E9B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.076


[E 9B10 |   4224/60000 (  7%) ] Loss: 0.1613 top1= 96.0227

=== Log global consensus distance @ E9B10 ===
consensus_distance=0.017



=== Log clique consensus distance @ E9B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.073


[E 9B20 |   8064/60000 ( 13%) ] Loss: 0.1516 top1= 95.4545

=== Log global consensus distance @ E9B20 ===
consensus_distance=0.017



=== Log clique consensus distance @ E9B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.069



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.5711 top1= 79.9079


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=1.4129 top1= 55.6991


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=1.6567 top1= 52.2736

Train epoch 10
[E10B0  |    384/60000 (  1%) ] Loss: 0.1106 top1= 97.1591

=== Log global consensus distance @ E10B0 ===
consensus_distance=0.016



=== Log clique consensus distance @ E10B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.068


[E10B10 |   4224/60000 (  7%) ] Loss: 0.1480 top1= 96.0227

=== Log global consensus distance @ E10B10 ===
consensus_distance=0.016



=== Log clique consensus distance @ E10B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.065


[E10B20 |   8064/60000 ( 13%) ] Loss: 0.1399 top1= 95.7386

=== Log global consensus distance @ E10B20 ===
consensus_distance=0.015



=== Log clique consensus distance @ E10B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.062



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.5436 top1= 80.6190


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=1.3725 top1= 56.9712


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=1.6157 top1= 53.0649

