
=== 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: 2.1020 top1= 40.3409

=== Log global consensus distance @ E1B10 ===
consensus_distance=0.007



=== Log clique consensus distance @ E1B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.029


[E 1B20 |   8064/60000 ( 13%) ] Loss: 1.7336 top1= 51.7045

=== Log global consensus distance @ E1B20 ===
consensus_distance=0.038



=== Log clique consensus distance @ E1B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.160



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=2.1257 top1= 36.6687


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.7905 top1= 38.1911


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.4543 top1= 32.6923

Train epoch 2
[E 2B0  |    384/60000 (  1%) ] Loss: 1.2736 top1= 66.4773

=== Log global consensus distance @ E2B0 ===
consensus_distance=0.090



=== Log clique consensus distance @ E2B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.378


[E 2B10 |   4224/60000 (  7%) ] Loss: 0.9665 top1= 75.0000

=== Log global consensus distance @ E2B10 ===
consensus_distance=0.140



=== Log clique consensus distance @ E2B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.586


[E 2B20 |   8064/60000 ( 13%) ] Loss: 0.7219 top1= 82.9545

=== Log global consensus distance @ E2B20 ===
consensus_distance=0.177



=== Log clique consensus distance @ E2B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.742



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.6373 top1= 62.9507


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=3.5729 top1= 39.2929


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.9869 top1= 35.5970

Train epoch 3
[E 3B0  |    384/60000 (  1%) ] Loss: 0.4825 top1= 88.9205

=== Log global consensus distance @ E3B0 ===
consensus_distance=0.203



=== Log clique consensus distance @ E3B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.857


[E 3B10 |   4224/60000 (  7%) ] Loss: 0.4167 top1= 90.3409

=== Log global consensus distance @ E3B10 ===
consensus_distance=0.220



=== Log clique consensus distance @ E3B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.930


[E 3B20 |   8064/60000 ( 13%) ] Loss: 0.3927 top1= 89.2045

=== Log global consensus distance @ E3B20 ===
consensus_distance=0.229



=== Log clique consensus distance @ E3B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.969



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.3179 top1= 71.7648


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=3.2403 top1= 39.9840


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=3.2035 top1= 40.9756

Train epoch 4
[E 4B0  |    384/60000 (  1%) ] Loss: 0.2605 top1= 92.6136

=== Log global consensus distance @ E4B0 ===
consensus_distance=0.231



=== Log clique consensus distance @ E4B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.980


[E 4B10 |   4224/60000 (  7%) ] Loss: 0.2745 top1= 92.8977

=== Log global consensus distance @ E4B10 ===
consensus_distance=0.229



=== Log clique consensus distance @ E4B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.968


[E 4B20 |   8064/60000 ( 13%) ] Loss: 0.2895 top1= 91.4773

=== Log global consensus distance @ E4B20 ===
consensus_distance=0.223



=== Log clique consensus distance @ E4B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.942



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.1813 top1= 73.0369


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.9722 top1= 41.3261


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=3.2257 top1= 43.1691

Train epoch 5
[E 5B0  |    384/60000 (  1%) ] Loss: 0.2040 top1= 93.7500

=== Log global consensus distance @ E5B0 ===
consensus_distance=0.215



=== Log clique consensus distance @ E5B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.909


[E 5B10 |   4224/60000 (  7%) ] Loss: 0.2257 top1= 94.8864

=== Log global consensus distance @ E5B10 ===
consensus_distance=0.206



=== Log clique consensus distance @ E5B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.872


[E 5B20 |   8064/60000 ( 13%) ] Loss: 0.2416 top1= 93.1818

=== Log global consensus distance @ E5B20 ===
consensus_distance=0.197



=== Log clique consensus distance @ E5B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.831



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.0815 top1= 74.4792


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.8159 top1= 44.3109


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=3.1434 top1= 43.8502

Train epoch 6
[E 6B0  |    384/60000 (  1%) ] Loss: 0.1739 top1= 94.0341

=== Log global consensus distance @ E6B0 ===
consensus_distance=0.187



=== Log clique consensus distance @ E6B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.790


[E 6B10 |   4224/60000 (  7%) ] Loss: 0.1985 top1= 95.1705

=== Log global consensus distance @ E6B10 ===
consensus_distance=0.177



=== Log clique consensus distance @ E6B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.748


[E 6B20 |   8064/60000 ( 13%) ] Loss: 0.2120 top1= 93.1818

=== Log global consensus distance @ E6B20 ===
consensus_distance=0.168



=== Log clique consensus distance @ E6B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.706



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.9996 top1= 75.4507


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.6657 top1= 45.9535


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=3.0131 top1= 44.1807

Train epoch 7
[E 7B0  |    384/60000 (  1%) ] Loss: 0.1525 top1= 94.8864

=== Log global consensus distance @ E7B0 ===
consensus_distance=0.158



=== Log clique consensus distance @ E7B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.667


[E 7B10 |   4224/60000 (  7%) ] Loss: 0.1807 top1= 95.4545

=== Log global consensus distance @ E7B10 ===
consensus_distance=0.149



=== Log clique consensus distance @ E7B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.628


[E 7B20 |   8064/60000 ( 13%) ] Loss: 0.1910 top1= 94.0341

=== Log global consensus distance @ E7B20 ===
consensus_distance=0.141



=== Log clique consensus distance @ E7B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.591



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.9317 top1= 76.0116


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.5226 top1= 46.7348


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.8834 top1= 44.3810

Train epoch 8
[E 8B0  |    384/60000 (  1%) ] Loss: 0.1367 top1= 96.3068

=== Log global consensus distance @ E8B0 ===
consensus_distance=0.133



=== Log clique consensus distance @ E8B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.557


[E 8B10 |   4224/60000 (  7%) ] Loss: 0.1667 top1= 96.3068

=== Log global consensus distance @ E8B10 ===
consensus_distance=0.125



=== Log clique consensus distance @ E8B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.523


[E 8B20 |   8064/60000 ( 13%) ] Loss: 0.1747 top1= 94.6023

=== Log global consensus distance @ E8B20 ===
consensus_distance=0.117



=== Log clique consensus distance @ E8B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.492



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.8767 top1= 76.1318


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.3898 top1= 47.3458


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.7527 top1= 44.4511

Train epoch 9
[E 9B0  |    384/60000 (  1%) ] Loss: 0.1236 top1= 96.3068

=== Log global consensus distance @ E9B0 ===
consensus_distance=0.111



=== Log clique consensus distance @ E9B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.463


[E 9B10 |   4224/60000 (  7%) ] Loss: 0.1548 top1= 96.3068

=== Log global consensus distance @ E9B10 ===
consensus_distance=0.104



=== Log clique consensus distance @ E9B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.435


[E 9B20 |   8064/60000 ( 13%) ] Loss: 0.1612 top1= 94.8864

=== Log global consensus distance @ E9B20 ===
consensus_distance=0.098



=== Log clique consensus distance @ E9B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.409



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.8279 top1= 75.9115


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.2646 top1= 48.0869


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.6366 top1= 44.5613

Train epoch 10
[E10B0  |    384/60000 (  1%) ] Loss: 0.1123 top1= 96.8750

=== Log global consensus distance @ E10B0 ===
consensus_distance=0.093



=== Log clique consensus distance @ E10B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.386


[E10B10 |   4224/60000 (  7%) ] Loss: 0.1445 top1= 96.5909

=== Log global consensus distance @ E10B10 ===
consensus_distance=0.087



=== Log clique consensus distance @ E10B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.363


[E10B20 |   8064/60000 ( 13%) ] Loss: 0.1495 top1= 95.4545

=== Log global consensus distance @ E10B20 ===
consensus_distance=0.082



=== Log clique consensus distance @ E10B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.342



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.7852 top1= 76.0216


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.1476 top1= 49.1086


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.5270 top1= 44.7416

