
=== 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=0.000



=== 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: 2.0814 top1= 39.2045

=== Log global consensus distance @ E1B10 ===
consensus_distance=0.012



=== Log clique consensus distance @ E1B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.035


[E 1B20 |   8064/60000 ( 13%) ] Loss: 1.6960 top1= 50.0000

=== Log global consensus distance @ E1B20 ===
consensus_distance=0.048



=== Log clique consensus distance @ E1B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.185



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=2.1293 top1= 32.2216


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.8671 top1= 38.3113


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.5060 top1= 32.5621

Train epoch 2
[E 2B0  |    384/60000 (  1%) ] Loss: 1.2525 top1= 67.3295

=== Log global consensus distance @ E2B0 ===
consensus_distance=0.101



=== Log clique consensus distance @ E2B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.410


[E 2B10 |   4224/60000 (  7%) ] Loss: 0.9689 top1= 75.8523

=== Log global consensus distance @ E2B10 ===
consensus_distance=0.149



=== Log clique consensus distance @ E2B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.612


[E 2B20 |   8064/60000 ( 13%) ] Loss: 0.7283 top1= 82.9545

=== Log global consensus distance @ E2B20 ===
consensus_distance=0.185



=== Log clique consensus distance @ E2B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.763



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.6558 top1= 56.9111


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=3.6536 top1= 39.2728


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=3.0232 top1= 35.3566

Train epoch 3
[E 3B0  |    384/60000 (  1%) ] Loss: 0.4866 top1= 89.2045

=== Log global consensus distance @ E3B0 ===
consensus_distance=0.212



=== Log clique consensus distance @ E3B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.881


[E 3B10 |   4224/60000 (  7%) ] Loss: 0.4304 top1= 89.7727

=== Log global consensus distance @ E3B10 ===
consensus_distance=0.230



=== Log clique consensus distance @ E3B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.957


[E 3B20 |   8064/60000 ( 13%) ] Loss: 0.4034 top1= 88.9205

=== Log global consensus distance @ E3B20 ===
consensus_distance=0.239



=== Log clique consensus distance @ E3B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.997



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.3313 top1= 68.4696


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=3.3270 top1= 39.9539


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=3.2923 top1= 40.8153

Train epoch 4
[E 4B0  |    384/60000 (  1%) ] Loss: 0.2669 top1= 92.6136

=== Log global consensus distance @ E4B0 ===
consensus_distance=0.242



=== Log clique consensus distance @ E4B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=1.012


[E 4B10 |   4224/60000 (  7%) ] Loss: 0.2899 top1= 92.3295

=== Log global consensus distance @ E4B10 ===
consensus_distance=0.240



=== Log clique consensus distance @ E4B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=1.005


[E 4B20 |   8064/60000 ( 13%) ] Loss: 0.2984 top1= 90.6250

=== Log global consensus distance @ E4B20 ===
consensus_distance=0.235



=== Log clique consensus distance @ E4B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.982



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.1886 top1= 71.3542


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=3.0568 top1= 41.0757


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=3.3198 top1= 43.1090

Train epoch 5
[E 5B0  |    384/60000 (  1%) ] Loss: 0.2091 top1= 94.0341

=== Log global consensus distance @ E5B0 ===
consensus_distance=0.228



=== Log clique consensus distance @ E5B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.953


[E 5B10 |   4224/60000 (  7%) ] Loss: 0.2412 top1= 93.4659

=== Log global consensus distance @ E5B10 ===
consensus_distance=0.220



=== Log clique consensus distance @ E5B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.920


[E 5B20 |   8064/60000 ( 13%) ] Loss: 0.2487 top1= 92.3295

=== Log global consensus distance @ E5B20 ===
consensus_distance=0.211



=== Log clique consensus distance @ E5B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.882



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.0870 top1= 73.1571


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.9166 top1= 43.5897


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=3.2391 top1= 43.7500

Train epoch 6
[E 6B0  |    384/60000 (  1%) ] Loss: 0.1789 top1= 94.0341

=== Log global consensus distance @ E6B0 ===
consensus_distance=0.202



=== Log clique consensus distance @ E6B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.843


[E 6B10 |   4224/60000 (  7%) ] Loss: 0.2148 top1= 93.7500

=== Log global consensus distance @ E6B10 ===
consensus_distance=0.193



=== Log clique consensus distance @ E6B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.804


[E 6B20 |   8064/60000 ( 13%) ] Loss: 0.2190 top1= 93.4659

=== Log global consensus distance @ E6B20 ===
consensus_distance=0.184



=== Log clique consensus distance @ E6B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.764



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.0064 top1= 74.5192


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.7758 top1= 45.2724


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=3.1164 top1= 44.0905

Train epoch 7
[E 7B0  |    384/60000 (  1%) ] Loss: 0.1580 top1= 94.8864

=== Log global consensus distance @ E7B0 ===
consensus_distance=0.175



=== Log clique consensus distance @ E7B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.726


[E 7B10 |   4224/60000 (  7%) ] Loss: 0.1968 top1= 95.4545

=== Log global consensus distance @ E7B10 ===
consensus_distance=0.166



=== Log clique consensus distance @ E7B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.688


[E 7B20 |   8064/60000 ( 13%) ] Loss: 0.1985 top1= 94.0341

=== Log global consensus distance @ E7B20 ===
consensus_distance=0.157



=== Log clique consensus distance @ E7B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.652



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.9387 top1= 75.5709


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.6461 top1= 46.2740


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.9851 top1= 44.2508

Train epoch 8
[E 8B0  |    384/60000 (  1%) ] Loss: 0.1426 top1= 95.1705

=== Log global consensus distance @ E8B0 ===
consensus_distance=0.149



=== Log clique consensus distance @ E8B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.618


[E 8B10 |   4224/60000 (  7%) ] Loss: 0.1833 top1= 95.7386

=== Log global consensus distance @ E8B10 ===
consensus_distance=0.141



=== Log clique consensus distance @ E8B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.584


[E 8B20 |   8064/60000 ( 13%) ] Loss: 0.1831 top1= 94.6023

=== Log global consensus distance @ E8B20 ===
consensus_distance=0.134



=== Log clique consensus distance @ E8B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.552



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.8818 top1= 76.3522


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.5226 top1= 46.7448


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.8576 top1= 44.3610

Train epoch 9
[E 9B0  |    384/60000 (  1%) ] Loss: 0.1308 top1= 95.7386

=== Log global consensus distance @ E9B0 ===
consensus_distance=0.127



=== Log clique consensus distance @ E9B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.523


[E 9B10 |   4224/60000 (  7%) ] Loss: 0.1724 top1= 96.0227

=== Log global consensus distance @ E9B10 ===
consensus_distance=0.120



=== Log clique consensus distance @ E9B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.494


[E 9B20 |   8064/60000 ( 13%) ] Loss: 0.1711 top1= 94.6023

=== Log global consensus distance @ E9B20 ===
consensus_distance=0.113



=== Log clique consensus distance @ E9B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.466



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.8322 top1= 77.0433


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.4041 top1= 47.1855


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.7338 top1= 44.4111

Train epoch 10
[E10B0  |    384/60000 (  1%) ] Loss: 0.1212 top1= 96.5909

=== Log global consensus distance @ E10B0 ===
consensus_distance=0.107



=== Log clique consensus distance @ E10B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.441


[E10B10 |   4224/60000 (  7%) ] Loss: 0.1631 top1= 96.3068

=== Log global consensus distance @ E10B10 ===
consensus_distance=0.101



=== Log clique consensus distance @ E10B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.416


[E10B20 |   8064/60000 ( 13%) ] Loss: 0.1614 top1= 94.6023

=== Log global consensus distance @ E10B20 ===
consensus_distance=0.096



=== Log clique consensus distance @ E10B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.393



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.7902 top1= 77.7845


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.2967 top1= 47.5761


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.6206 top1= 44.5312

