
=== 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 BitFlippingWorker

=== 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=0.006



=== Log clique consensus distance @ E1B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.002



=== 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: 0.7053 top1= 77.2727

=== Log global consensus distance @ E1B10 ===
consensus_distance=0.378



=== Log clique consensus distance @ E1B10 ===
clique1_consensus_distance=0.006
clique2_consensus_distance=1.435


[E 1B20 |   8064/60000 ( 13%) ] Loss: 0.2604 top1= 91.4773

=== Log global consensus distance @ E1B20 ===
consensus_distance=0.746



=== Log clique consensus distance @ E1B20 ===
clique1_consensus_distance=0.007
clique2_consensus_distance=2.975



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.3173 top1= 60.8774


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=5.4230 top1= 40.5950


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=7.1456 top1= 41.9471

Train epoch 2
[E 2B0  |    384/60000 (  1%) ] Loss: 0.1515 top1= 95.1705

=== Log global consensus distance @ E2B0 ===
consensus_distance=0.732



=== Log clique consensus distance @ E2B0 ===
clique1_consensus_distance=0.007
clique2_consensus_distance=2.928


[E 2B10 |   4224/60000 (  7%) ] Loss: 0.1517 top1= 94.8864

=== Log global consensus distance @ E2B10 ===
consensus_distance=0.572



=== Log clique consensus distance @ E2B10 ===
clique1_consensus_distance=0.006
clique2_consensus_distance=2.265


[E 2B20 |   8064/60000 ( 13%) ] Loss: 0.1537 top1= 95.4545

=== Log global consensus distance @ E2B20 ===
consensus_distance=0.443



=== Log clique consensus distance @ E2B20 ===
clique1_consensus_distance=0.005
clique2_consensus_distance=1.711



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.0210 top1= 62.0493


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.8443 top1= 47.5761


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=3.9238 top1= 45.2624

Train epoch 3
[E 3B0  |    384/60000 (  1%) ] Loss: 0.1130 top1= 96.8750

=== Log global consensus distance @ E3B0 ===
consensus_distance=0.359



=== Log clique consensus distance @ E3B0 ===
clique1_consensus_distance=0.005
clique2_consensus_distance=1.345


[E 3B10 |   4224/60000 (  7%) ] Loss: 0.1202 top1= 96.3068

=== Log global consensus distance @ E3B10 ===
consensus_distance=0.313



=== Log clique consensus distance @ E3B10 ===
clique1_consensus_distance=0.004
clique2_consensus_distance=1.149


[E 3B20 |   8064/60000 ( 13%) ] Loss: 0.1103 top1= 96.5909

=== Log global consensus distance @ E3B20 ===
consensus_distance=0.279



=== Log clique consensus distance @ E3B20 ===
clique1_consensus_distance=0.004
clique2_consensus_distance=0.997



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.8503 top1= 68.6599


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.5448 top1= 47.7063


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=3.2087 top1= 44.2708

Train epoch 4
[E 4B0  |    384/60000 (  1%) ] Loss: 0.1120 top1= 95.7386

=== Log global consensus distance @ E4B0 ===
consensus_distance=0.254



=== Log clique consensus distance @ E4B0 ===
clique1_consensus_distance=0.004
clique2_consensus_distance=0.890


[E 4B10 |   4224/60000 (  7%) ] Loss: 0.1151 top1= 96.5909

=== Log global consensus distance @ E4B10 ===
consensus_distance=0.246



=== Log clique consensus distance @ E4B10 ===
clique1_consensus_distance=0.004
clique2_consensus_distance=0.855


[E 4B20 |   8064/60000 ( 13%) ] Loss: 0.1080 top1= 96.8750

=== Log global consensus distance @ E4B20 ===
consensus_distance=0.238



=== Log clique consensus distance @ E4B20 ===
clique1_consensus_distance=0.004
clique2_consensus_distance=0.818



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.7474 top1= 72.5461


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.3500 top1= 48.5677


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.8740 top1= 45.1122

Train epoch 5
[E 5B0  |    384/60000 (  1%) ] Loss: 0.0879 top1= 97.1591

=== Log global consensus distance @ E5B0 ===
consensus_distance=0.226



=== Log clique consensus distance @ E5B0 ===
clique1_consensus_distance=0.004
clique2_consensus_distance=0.768


[E 5B10 |   4224/60000 (  7%) ] Loss: 0.0797 top1= 97.1591

=== Log global consensus distance @ E5B10 ===
consensus_distance=0.223



=== Log clique consensus distance @ E5B10 ===
clique1_consensus_distance=0.004
clique2_consensus_distance=0.753


[E 5B20 |   8064/60000 ( 13%) ] Loss: 0.1030 top1= 96.3068

=== Log global consensus distance @ E5B20 ===
consensus_distance=0.213



=== Log clique consensus distance @ E5B20 ===
clique1_consensus_distance=0.004
clique2_consensus_distance=0.710



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.7098 top1= 74.5192


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.2659 top1= 48.4375


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.6856 top1= 45.1522

Train epoch 6
[E 6B0  |    384/60000 (  1%) ] Loss: 0.0815 top1= 97.4432

=== Log global consensus distance @ E6B0 ===
consensus_distance=0.203



=== Log clique consensus distance @ E6B0 ===
clique1_consensus_distance=0.004
clique2_consensus_distance=0.672


[E 6B10 |   4224/60000 (  7%) ] Loss: 0.0775 top1= 98.0114

=== Log global consensus distance @ E6B10 ===
consensus_distance=0.209



=== Log clique consensus distance @ E6B10 ===
clique1_consensus_distance=0.004
clique2_consensus_distance=0.692


[E 6B20 |   8064/60000 ( 13%) ] Loss: 0.0793 top1= 97.1591

=== Log global consensus distance @ E6B20 ===
consensus_distance=0.204



=== Log clique consensus distance @ E6B20 ===
clique1_consensus_distance=0.004
clique2_consensus_distance=0.674



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.6171 top1= 78.9964


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.1603 top1= 49.0685


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.8701 top1= 44.2909

Train epoch 7
[E 7B0  |    384/60000 (  1%) ] Loss: 0.0598 top1= 98.2955

=== Log global consensus distance @ E7B0 ===
consensus_distance=0.194



=== Log clique consensus distance @ E7B0 ===
clique1_consensus_distance=0.004
clique2_consensus_distance=0.634


[E 7B10 |   4224/60000 (  7%) ] Loss: 0.0577 top1= 99.1477

=== Log global consensus distance @ E7B10 ===
consensus_distance=0.194



=== Log clique consensus distance @ E7B10 ===
clique1_consensus_distance=0.004
clique2_consensus_distance=0.629


[E 7B20 |   8064/60000 ( 13%) ] Loss: 0.0693 top1= 97.7273

=== Log global consensus distance @ E7B20 ===
consensus_distance=0.192



=== Log clique consensus distance @ E7B20 ===
clique1_consensus_distance=0.004
clique2_consensus_distance=0.623


