
=== 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: 2.0943 top1= 40.0568

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



=== Log clique consensus distance @ E1B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.030


[E 1B20 |   8064/60000 ( 13%) ] Loss: 1.7197 top1= 51.7045

=== Log global consensus distance @ E1B20 ===
consensus_distance=0.039



=== Log clique consensus distance @ E1B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.163



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=2.1225 top1= 33.7139


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.8104 top1= 38.2111


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.4620 top1= 32.6122

Train epoch 2
[E 2B0  |    384/60000 (  1%) ] Loss: 1.2658 top1= 67.3295

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



=== Log clique consensus distance @ E2B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.379


[E 2B10 |   4224/60000 (  7%) ] Loss: 0.9660 top1= 75.0000

=== Log global consensus distance @ E2B10 ===
consensus_distance=0.138



=== Log clique consensus distance @ E2B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.581


[E 2B20 |   8064/60000 ( 13%) ] Loss: 0.7232 top1= 82.9545

=== Log global consensus distance @ E2B20 ===
consensus_distance=0.172



=== Log clique consensus distance @ E2B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.730



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.6346 top1= 59.1847


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=3.5703 top1= 39.3029


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.9599 top1= 35.5569

Train epoch 3
[E 3B0  |    384/60000 (  1%) ] Loss: 0.4825 top1= 89.2045

=== Log global consensus distance @ E3B0 ===
consensus_distance=0.198



=== Log clique consensus distance @ E3B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.841


[E 3B10 |   4224/60000 (  7%) ] Loss: 0.4225 top1= 90.0568

=== Log global consensus distance @ E3B10 ===
consensus_distance=0.214



=== Log clique consensus distance @ E3B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.911


[E 3B20 |   8064/60000 ( 13%) ] Loss: 0.3982 top1= 89.2045

=== Log global consensus distance @ E3B20 ===
consensus_distance=0.222



=== Log clique consensus distance @ E3B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.946



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.3094 top1= 70.7432


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=3.2205 top1= 39.9740


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=3.1749 top1= 41.0256

Train epoch 4
[E 4B0  |    384/60000 (  1%) ] Loss: 0.2665 top1= 92.8977

=== Log global consensus distance @ E4B0 ===
consensus_distance=0.224



=== Log clique consensus distance @ E4B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.955


[E 4B10 |   4224/60000 (  7%) ] Loss: 0.2846 top1= 92.0455

=== Log global consensus distance @ E4B10 ===
consensus_distance=0.221



=== Log clique consensus distance @ E4B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.942


[E 4B20 |   8064/60000 ( 13%) ] Loss: 0.2958 top1= 91.4773

=== Log global consensus distance @ E4B20 ===
consensus_distance=0.215



=== Log clique consensus distance @ E4B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.914



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.1674 top1= 73.0369


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.9434 top1= 41.2560


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=3.1899 top1= 43.1891

Train epoch 5
[E 5B0  |    384/60000 (  1%) ] Loss: 0.2105 top1= 93.7500

=== Log global consensus distance @ E5B0 ===
consensus_distance=0.207



=== Log clique consensus distance @ E5B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.880


[E 5B10 |   4224/60000 (  7%) ] Loss: 0.2363 top1= 94.3182

=== Log global consensus distance @ E5B10 ===
consensus_distance=0.197



=== Log clique consensus distance @ E5B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.841


[E 5B20 |   8064/60000 ( 13%) ] Loss: 0.2480 top1= 93.1818

=== Log global consensus distance @ E5B20 ===
consensus_distance=0.188



=== Log clique consensus distance @ E5B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.798



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.0628 top1= 74.8998


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.7747 top1= 44.1206


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=3.0902 top1= 43.8602

Train epoch 6
[E 6B0  |    384/60000 (  1%) ] Loss: 0.1807 top1= 93.7500

=== Log global consensus distance @ E6B0 ===
consensus_distance=0.178



=== Log clique consensus distance @ E6B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.757


[E 6B10 |   4224/60000 (  7%) ] Loss: 0.2087 top1= 94.8864

=== Log global consensus distance @ E6B10 ===
consensus_distance=0.168



=== Log clique consensus distance @ E6B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.714


[E 6B20 |   8064/60000 ( 13%) ] Loss: 0.2183 top1= 93.7500

=== Log global consensus distance @ E6B20 ===
consensus_distance=0.158



=== Log clique consensus distance @ E6B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.672



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.9778 top1= 76.0817


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.6137 top1= 45.9034


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.9437 top1= 44.1807

Train epoch 7
[E 7B0  |    384/60000 (  1%) ] Loss: 0.1592 top1= 94.6023

=== Log global consensus distance @ E7B0 ===
consensus_distance=0.149



=== Log clique consensus distance @ E7B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.632


[E 7B10 |   4224/60000 (  7%) ] Loss: 0.1913 top1= 95.1705

=== Log global consensus distance @ E7B10 ===
consensus_distance=0.139



=== Log clique consensus distance @ E7B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.592


[E 7B20 |   8064/60000 ( 13%) ] Loss: 0.1975 top1= 94.3182

=== Log global consensus distance @ E7B20 ===
consensus_distance=0.130



=== Log clique consensus distance @ E7B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.554



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.9069 top1= 76.9732


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.4655 top1= 46.6747


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.7884 top1= 44.3810

Train epoch 8
[E 8B0  |    384/60000 (  1%) ] Loss: 0.1428 top1= 95.4545

=== Log global consensus distance @ E8B0 ===
consensus_distance=0.122



=== Log clique consensus distance @ E8B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.519


[E 8B10 |   4224/60000 (  7%) ] Loss: 0.1780 top1= 96.0227

=== Log global consensus distance @ E8B10 ===
consensus_distance=0.114



=== Log clique consensus distance @ E8B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.484


[E 8B20 |   8064/60000 ( 13%) ] Loss: 0.1812 top1= 94.6023

=== Log global consensus distance @ E8B20 ===
consensus_distance=0.106



=== Log clique consensus distance @ E8B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.451



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.8461 top1= 77.6843


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.3210 top1= 47.2256


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.6314 top1= 44.4311

Train epoch 9
[E 9B0  |    384/60000 (  1%) ] Loss: 0.1298 top1= 96.5909

=== Log global consensus distance @ E9B0 ===
consensus_distance=0.099



=== Log clique consensus distance @ E9B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.421


[E 9B10 |   4224/60000 (  7%) ] Loss: 0.1671 top1= 96.3068

=== Log global consensus distance @ E9B10 ===
consensus_distance=0.092



=== Log clique consensus distance @ E9B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.391


[E 9B20 |   8064/60000 ( 13%) ] Loss: 0.1684 top1= 94.6023

=== Log global consensus distance @ E9B20 ===
consensus_distance=0.086



=== Log clique consensus distance @ E9B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.364



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.7923 top1= 78.2552


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.1843 top1= 47.8365


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.4764 top1= 44.5212

Train epoch 10
[E10B0  |    384/60000 (  1%) ] Loss: 0.1186 top1= 97.1591

=== Log global consensus distance @ E10B0 ===
consensus_distance=0.080



=== Log clique consensus distance @ E10B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.339


[E10B10 |   4224/60000 (  7%) ] Loss: 0.1575 top1= 96.3068

=== Log global consensus distance @ E10B10 ===
consensus_distance=0.074



=== Log clique consensus distance @ E10B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.315


[E10B20 |   8064/60000 ( 13%) ] Loss: 0.1572 top1= 95.1705

=== Log global consensus distance @ E10B20 ===
consensus_distance=0.069



=== Log clique consensus distance @ E10B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.292



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.7446 top1= 78.6158


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.0578 top1= 48.6779


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.3329 top1= 44.7716

