
=== 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: 2.1296 top1= 32.1023

=== Log global consensus distance @ E1B10 ===
consensus_distance=0.009



=== Log clique consensus distance @ E1B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.036


[E 1B20 |   8064/60000 ( 13%) ] Loss: 1.8391 top1= 40.3409

=== Log global consensus distance @ E1B20 ===
consensus_distance=0.052



=== Log clique consensus distance @ E1B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.210



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=2.2227 top1= 31.6707


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.7025 top1= 24.7696


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.4193 top1= 21.5845

Train epoch 2
[E 2B0  |    384/60000 (  1%) ] Loss: 1.6197 top1= 46.5909

=== Log global consensus distance @ E2B0 ===
consensus_distance=0.136



=== Log clique consensus distance @ E2B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.548


[E 2B10 |   4224/60000 (  7%) ] Loss: 1.5826 top1= 44.8864

=== Log global consensus distance @ E2B10 ===
consensus_distance=0.269



=== Log clique consensus distance @ E2B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=1.091


[E 2B20 |   8064/60000 ( 13%) ] Loss: 1.5655 top1= 54.8295

=== Log global consensus distance @ E2B20 ===
consensus_distance=0.489



=== Log clique consensus distance @ E2B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=1.990



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.9806 top1= 47.2456


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.0573 top1= 34.4752


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.1652 top1= 23.5877

Train epoch 3
[E 3B0  |    384/60000 (  1%) ] Loss: 1.3920 top1= 60.2273

=== Log global consensus distance @ E3B0 ===
consensus_distance=0.832



=== Log clique consensus distance @ E3B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=3.392


[E 3B10 |   4224/60000 (  7%) ] Loss: 1.1985 top1= 64.7727

=== Log global consensus distance @ E3B10 ===
consensus_distance=1.303



=== Log clique consensus distance @ E3B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=5.311


[E 3B20 |   8064/60000 ( 13%) ] Loss: 1.0487 top1= 71.5909

=== Log global consensus distance @ E3B20 ===
consensus_distance=1.878



=== Log clique consensus distance @ E3B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=7.645



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.7695 top1= 50.4407


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.0494 top1= 33.3133


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.1622 top1= 28.4555

Train epoch 4
[E 4B0  |    384/60000 (  1%) ] Loss: 0.9728 top1= 72.7273

=== Log global consensus distance @ E4B0 ===
consensus_distance=2.527



=== Log clique consensus distance @ E4B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=10.275


[E 4B10 |   4224/60000 (  7%) ] Loss: 0.9777 top1= 73.2955

=== Log global consensus distance @ E4B10 ===
consensus_distance=3.260



=== Log clique consensus distance @ E4B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=13.250


[E 4B20 |   8064/60000 ( 13%) ] Loss: 0.8542 top1= 77.8409

=== Log global consensus distance @ E4B20 ===
consensus_distance=4.063



=== Log clique consensus distance @ E4B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=16.491



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.6645 top1= 54.7676


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.0160 top1= 37.7704


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.1329 top1= 32.9127

Train epoch 5
[E 5B0  |    384/60000 (  1%) ] Loss: 0.7495 top1= 81.8182

=== Log global consensus distance @ E5B0 ===
consensus_distance=4.861



=== Log clique consensus distance @ E5B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=19.714


[E 5B10 |   4224/60000 (  7%) ] Loss: 0.7161 top1= 81.5341

=== Log global consensus distance @ E5B10 ===
consensus_distance=5.708



=== Log clique consensus distance @ E5B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=23.144


[E 5B20 |   8064/60000 ( 13%) ] Loss: 0.7178 top1= 82.1023

=== Log global consensus distance @ E5B20 ===
consensus_distance=6.575



=== Log clique consensus distance @ E5B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=26.636



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.6293 top1= 43.1390


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=1.9696 top1= 38.7821


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.1116 top1= 34.7957

Train epoch 6
[E 6B0  |    384/60000 (  1%) ] Loss: 0.6583 top1= 84.0909

=== Log global consensus distance @ E6B0 ===
consensus_distance=7.429



=== Log clique consensus distance @ E6B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=30.091


[E 6B10 |   4224/60000 (  7%) ] Loss: 0.5725 top1= 86.0795

=== Log global consensus distance @ E6B10 ===
consensus_distance=8.343



=== Log clique consensus distance @ E6B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=33.782


[E 6B20 |   8064/60000 ( 13%) ] Loss: 0.6516 top1= 82.6705

=== Log global consensus distance @ E6B20 ===
consensus_distance=9.223



=== Log clique consensus distance @ E6B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=37.319



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.6617 top1= 37.6402


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.0924 top1= 40.7252


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.1305 top1= 35.5469

Train epoch 7
[E 7B0  |    384/60000 (  1%) ] Loss: 0.6008 top1= 85.7955

=== Log global consensus distance @ E7B0 ===
consensus_distance=10.110



=== Log clique consensus distance @ E7B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=40.915


[E 7B10 |   4224/60000 (  7%) ] Loss: 0.5166 top1= 88.0682

=== Log global consensus distance @ E7B10 ===
consensus_distance=11.071



=== Log clique consensus distance @ E7B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=44.788


[E 7B20 |   8064/60000 ( 13%) ] Loss: 0.6008 top1= 85.7955

=== Log global consensus distance @ E7B20 ===
consensus_distance=11.988



=== Log clique consensus distance @ E7B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=48.478



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.7026 top1= 35.6270


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.1361 top1= 43.1090


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.1392 top1= 35.6771

Train epoch 8
[E 8B0  |    384/60000 (  1%) ] Loss: 0.5579 top1= 86.6477

=== Log global consensus distance @ E8B0 ===
consensus_distance=12.936



=== Log clique consensus distance @ E8B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=52.319


[E 8B10 |   4224/60000 (  7%) ] Loss: 0.4690 top1= 88.9205

=== Log global consensus distance @ E8B10 ===
consensus_distance=13.952



=== Log clique consensus distance @ E8B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=56.418


[E 8B20 |   8064/60000 ( 13%) ] Loss: 0.5499 top1= 87.2159

=== Log global consensus distance @ E8B20 ===
consensus_distance=14.924



=== Log clique consensus distance @ E8B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=60.328



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.7848 top1= 30.8494


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.1649 top1= 44.2308


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.1812 top1= 35.8874

Train epoch 9
[E 9B0  |    384/60000 (  1%) ] Loss: 0.4612 top1= 89.4886

=== Log global consensus distance @ E9B0 ===
consensus_distance=15.907



=== Log clique consensus distance @ E9B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=64.305


[E 9B10 |   4224/60000 (  7%) ] Loss: 0.4346 top1= 88.0682

=== Log global consensus distance @ E9B10 ===
consensus_distance=16.976



=== Log clique consensus distance @ E9B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=68.629


[E 9B20 |   8064/60000 ( 13%) ] Loss: 0.4779 top1= 89.7727

=== Log global consensus distance @ E9B20 ===
consensus_distance=18.052



=== Log clique consensus distance @ E9B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=72.964



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.8744 top1= 27.4840


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.2460 top1= 43.8301


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.2216 top1= 35.8974

Train epoch 10
[E10B0  |    384/60000 (  1%) ] Loss: 0.4489 top1= 88.3523

=== Log global consensus distance @ E10B0 ===
consensus_distance=19.221



=== Log clique consensus distance @ E10B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=77.706


[E10B10 |   4224/60000 (  7%) ] Loss: 0.4518 top1= 88.0682

=== Log global consensus distance @ E10B10 ===
consensus_distance=20.521



=== Log clique consensus distance @ E10B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=82.965


[E10B20 |   8064/60000 ( 13%) ] Loss: 0.4875 top1= 87.7841

=== Log global consensus distance @ E10B20 ===
consensus_distance=21.930



=== Log clique consensus distance @ E10B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=88.663



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.9142 top1= 28.6859


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.3380 top1= 43.6899


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.3945 top1= 36.1779

