
=== 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: 2.0559 top1= 42.8977

=== Log global consensus distance @ E1B10 ===
consensus_distance=0.008



=== Log clique consensus distance @ E1B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.031


[E 1B20 |   8064/60000 ( 13%) ] Loss: 1.6088 top1= 52.2727

=== Log global consensus distance @ E1B20 ===
consensus_distance=0.044



=== Log clique consensus distance @ E1B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.177



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=2.0904 top1= 38.9323


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.8652 top1= 38.2111


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.5111 top1= 31.7107

Train epoch 2
[E 2B0  |    384/60000 (  1%) ] Loss: 1.1462 top1= 68.1818

=== Log global consensus distance @ E2B0 ===
consensus_distance=0.100



=== Log clique consensus distance @ E2B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.409


[E 2B10 |   4224/60000 (  7%) ] Loss: 0.9175 top1= 75.8523

=== Log global consensus distance @ E2B10 ===
consensus_distance=0.155



=== Log clique consensus distance @ E2B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.625


[E 2B20 |   8064/60000 ( 13%) ] Loss: 0.6896 top1= 82.9545

=== Log global consensus distance @ E2B20 ===
consensus_distance=0.200



=== Log clique consensus distance @ E2B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.806



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.6157 top1= 67.6082


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=3.5991 top1= 39.3029


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=3.2359 top1= 35.8774

Train epoch 3
[E 3B0  |    384/60000 (  1%) ] Loss: 0.4444 top1= 90.6250

=== Log global consensus distance @ E3B0 ===
consensus_distance=0.237



=== Log clique consensus distance @ E3B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.958


[E 3B10 |   4224/60000 (  7%) ] Loss: 0.3753 top1= 90.9091

=== Log global consensus distance @ E3B10 ===
consensus_distance=0.263



=== Log clique consensus distance @ E3B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=1.063


[E 3B20 |   8064/60000 ( 13%) ] Loss: 0.3673 top1= 89.4886

=== Log global consensus distance @ E3B20 ===
consensus_distance=0.280



=== Log clique consensus distance @ E3B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=1.128



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.4074 top1= 55.0681


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=3.2431 top1= 40.0040


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=3.6012 top1= 41.7468

Train epoch 4
[E 4B0  |    384/60000 (  1%) ] Loss: 0.2365 top1= 93.1818

=== Log global consensus distance @ E4B0 ===
consensus_distance=0.289



=== Log clique consensus distance @ E4B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=1.166


[E 4B10 |   4224/60000 (  7%) ] Loss: 0.2457 top1= 93.4659

=== Log global consensus distance @ E4B10 ===
consensus_distance=0.293



=== Log clique consensus distance @ E4B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=1.183


[E 4B20 |   8064/60000 ( 13%) ] Loss: 0.2682 top1= 91.7614

=== Log global consensus distance @ E4B20 ===
consensus_distance=0.294



=== Log clique consensus distance @ E4B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=1.185



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.3839 top1= 50.9716


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=3.0183 top1= 42.1274


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=3.8524 top1= 43.3494

Train epoch 5
[E 5B0  |    384/60000 (  1%) ] Loss: 0.1802 top1= 94.3182

=== Log global consensus distance @ E5B0 ===
consensus_distance=0.293



=== Log clique consensus distance @ E5B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=1.182


[E 5B10 |   4224/60000 (  7%) ] Loss: 0.1982 top1= 95.1705

=== Log global consensus distance @ E5B10 ===
consensus_distance=0.291



=== Log clique consensus distance @ E5B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=1.172


[E 5B20 |   8064/60000 ( 13%) ] Loss: 0.2168 top1= 93.4659

=== Log global consensus distance @ E5B20 ===
consensus_distance=0.287



=== Log clique consensus distance @ E5B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=1.157



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.3893 top1= 49.4191


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.8850 top1= 44.8317


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=4.0336 top1= 43.9303

Train epoch 6
[E 6B0  |    384/60000 (  1%) ] Loss: 0.1518 top1= 94.8864

=== Log global consensus distance @ E6B0 ===
consensus_distance=0.283



=== Log clique consensus distance @ E6B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=1.141


[E 6B10 |   4224/60000 (  7%) ] Loss: 0.1707 top1= 95.7386

=== Log global consensus distance @ E6B10 ===
consensus_distance=0.278



=== Log clique consensus distance @ E6B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=1.122


[E 6B20 |   8064/60000 ( 13%) ] Loss: 0.1850 top1= 94.3182

=== Log global consensus distance @ E6B20 ===
consensus_distance=0.273



=== Log clique consensus distance @ E6B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=1.101



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.4300 top1= 47.4659


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.7450 top1= 46.3742


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=4.1951 top1= 44.2208

Train epoch 7
[E 7B0  |    384/60000 (  1%) ] Loss: 0.1321 top1= 95.4545

=== Log global consensus distance @ E7B0 ===
consensus_distance=0.269



=== Log clique consensus distance @ E7B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=1.082


[E 7B10 |   4224/60000 (  7%) ] Loss: 0.1520 top1= 96.5909

=== Log global consensus distance @ E7B10 ===
consensus_distance=0.263



=== Log clique consensus distance @ E7B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=1.059


[E 7B20 |   8064/60000 ( 13%) ] Loss: 0.1631 top1= 95.1705

=== Log global consensus distance @ E7B20 ===
consensus_distance=0.257



=== Log clique consensus distance @ E7B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=1.037



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.4916 top1= 45.8734


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.6119 top1= 47.1354


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=4.3507 top1= 44.4611

Train epoch 8
[E 8B0  |    384/60000 (  1%) ] Loss: 0.1175 top1= 96.3068

=== Log global consensus distance @ E8B0 ===
consensus_distance=0.253



=== Log clique consensus distance @ E8B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=1.019


[E 8B10 |   4224/60000 (  7%) ] Loss: 0.1374 top1= 96.5909

=== Log global consensus distance @ E8B10 ===
consensus_distance=0.247



=== Log clique consensus distance @ E8B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.996


[E 8B20 |   8064/60000 ( 13%) ] Loss: 0.1465 top1= 95.7386

=== Log global consensus distance @ E8B20 ===
consensus_distance=0.242



=== Log clique consensus distance @ E8B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.974



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.5591 top1= 45.2224


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.4960 top1= 47.9167


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=4.4983 top1= 44.6514

Train epoch 9
[E 9B0  |    384/60000 (  1%) ] Loss: 0.1057 top1= 96.3068

=== Log global consensus distance @ E9B0 ===
consensus_distance=0.238



=== Log clique consensus distance @ E9B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.957


[E 9B10 |   4224/60000 (  7%) ] Loss: 0.1255 top1= 97.1591

=== Log global consensus distance @ E9B10 ===
consensus_distance=0.232



=== Log clique consensus distance @ E9B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.935


[E 9B20 |   8064/60000 ( 13%) ] Loss: 0.1333 top1= 96.0227

=== Log global consensus distance @ E9B20 ===
consensus_distance=0.227



=== Log clique consensus distance @ E9B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.914



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.6263 top1= 44.8718


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.3885 top1= 49.0284


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=4.6354 top1= 44.7516

Train epoch 10
[E10B0  |    384/60000 (  1%) ] Loss: 0.0963 top1= 97.1591

=== Log global consensus distance @ E10B0 ===
consensus_distance=0.223



=== Log clique consensus distance @ E10B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.899


[E10B10 |   4224/60000 (  7%) ] Loss: 0.1150 top1= 97.1591

=== Log global consensus distance @ E10B10 ===
consensus_distance=0.218



=== Log clique consensus distance @ E10B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.878


[E10B20 |   8064/60000 ( 13%) ] Loss: 0.1225 top1= 96.3068

=== Log global consensus distance @ E10B20 ===
consensus_distance=0.213



=== Log clique consensus distance @ E10B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.860



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.6928 top1= 44.7917


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.3006 top1= 50.4808


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=4.7679 top1= 44.8017

