
=== Start adding workers ===
=> Add worker SGDMWorker(index=0, momentum=0.0)
=> Add worker SGDMWorker(index=1, momentum=0.0)
=> Add worker SGDMWorker(index=2, momentum=0.0)
=> Add worker SGDMWorker(index=3, momentum=0.0)
=> Add worker SGDMWorker(index=4, momentum=0.0)
=> Add worker SGDMWorker(index=5, momentum=0.0)
=> Add worker SGDMWorker(index=6, momentum=0.0)
=> Add worker SGDMWorker(index=7, momentum=0.0)
=> Add worker SGDMWorker(index=8, momentum=0.0)
=> Add worker SGDMWorker(index=9, momentum=0.0)
=> Add worker SGDMWorker(index=10, momentum=0.0)
=> 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: 1.8151 top1= 57.9545

=== Log global consensus distance @ E1B10 ===
consensus_distance=0.013



=== Log clique consensus distance @ E1B10 ===
clique1_consensus_distance=0.010
clique2_consensus_distance=0.029


[E 1B20 |   8064/60000 ( 13%) ] Loss: 1.4388 top1= 50.2841

=== Log global consensus distance @ E1B20 ===
consensus_distance=0.040



=== Log clique consensus distance @ E1B20 ===
clique1_consensus_distance=0.024
clique2_consensus_distance=0.093



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=2.2233 top1= 39.2328


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.4246 top1= 20.7632


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.4508 top1= 17.9387

Train epoch 2
[E 2B0  |    384/60000 (  1%) ] Loss: 1.2200 top1= 55.6818

=== Log global consensus distance @ E2B0 ===
consensus_distance=0.067



=== Log clique consensus distance @ E2B0 ===
clique1_consensus_distance=0.037
clique2_consensus_distance=0.162


[E 2B10 |   4224/60000 (  7%) ] Loss: 0.9954 top1= 65.9091

=== Log global consensus distance @ E2B10 ===
consensus_distance=0.091



=== Log clique consensus distance @ E2B10 ===
clique1_consensus_distance=0.055
clique2_consensus_distance=0.214


[E 2B20 |   8064/60000 ( 13%) ] Loss: 0.8261 top1= 76.1364

=== Log global consensus distance @ E2B20 ===
consensus_distance=0.111



=== Log clique consensus distance @ E2B20 ===
clique1_consensus_distance=0.065
clique2_consensus_distance=0.262



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=2.1408 top1= 35.9375


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.6907 top1= 19.0905


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.7326 top1= 18.4195

Train epoch 3
[E 3B0  |    384/60000 (  1%) ] Loss: 0.7393 top1= 78.6932

=== Log global consensus distance @ E3B0 ===
consensus_distance=0.129



=== Log clique consensus distance @ E3B0 ===
clique1_consensus_distance=0.070
clique2_consensus_distance=0.309


[E 3B10 |   4224/60000 (  7%) ] Loss: 0.6754 top1= 78.9773

=== Log global consensus distance @ E3B10 ===
consensus_distance=0.145



=== Log clique consensus distance @ E3B10 ===
clique1_consensus_distance=0.081
clique2_consensus_distance=0.346


[E 3B20 |   8064/60000 ( 13%) ] Loss: 0.5810 top1= 82.6705

=== Log global consensus distance @ E3B20 ===
consensus_distance=0.159



=== Log clique consensus distance @ E3B20 ===
clique1_consensus_distance=0.087
clique2_consensus_distance=0.385



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=2.0728 top1= 31.2700


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.9204 top1= 18.4195


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.8882 top1= 25.3806

Train epoch 4
[E 4B0  |    384/60000 (  1%) ] Loss: 0.5466 top1= 84.3750

=== Log global consensus distance @ E4B0 ===
consensus_distance=0.173



=== Log clique consensus distance @ E4B0 ===
clique1_consensus_distance=0.093
clique2_consensus_distance=0.424


[E 4B10 |   4224/60000 (  7%) ] Loss: 0.5137 top1= 80.1136

=== Log global consensus distance @ E4B10 ===
consensus_distance=0.188



=== Log clique consensus distance @ E4B10 ===
clique1_consensus_distance=0.103
clique2_consensus_distance=0.451


[E 4B20 |   8064/60000 ( 13%) ] Loss: 0.4703 top1= 83.5227

=== Log global consensus distance @ E4B20 ===
consensus_distance=0.199



=== Log clique consensus distance @ E4B20 ===
clique1_consensus_distance=0.109
clique2_consensus_distance=0.477



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=2.0050 top1= 36.3381


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.8732 top1= 29.3269


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=3.0043 top1= 26.1518

Train epoch 5
[E 5B0  |    384/60000 (  1%) ] Loss: 0.4295 top1= 86.3636

=== Log global consensus distance @ E5B0 ===
consensus_distance=0.210



=== Log clique consensus distance @ E5B0 ===
clique1_consensus_distance=0.116
clique2_consensus_distance=0.504


[E 5B10 |   4224/60000 (  7%) ] Loss: 0.4321 top1= 84.3750

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



=== Log clique consensus distance @ E5B10 ===
clique1_consensus_distance=0.118
clique2_consensus_distance=0.534


[E 5B20 |   8064/60000 ( 13%) ] Loss: 0.3994 top1= 87.7841

=== Log global consensus distance @ E5B20 ===
consensus_distance=0.230



=== Log clique consensus distance @ E5B20 ===
clique1_consensus_distance=0.123
clique2_consensus_distance=0.557



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.9593 top1= 35.5869


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=3.0257 top1= 24.7596


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=3.2025 top1= 25.1603

Train epoch 6
[E 6B0  |    384/60000 (  1%) ] Loss: 0.3682 top1= 90.3409

=== Log global consensus distance @ E6B0 ===
consensus_distance=0.240



=== Log clique consensus distance @ E6B0 ===
clique1_consensus_distance=0.126
clique2_consensus_distance=0.584


[E 6B10 |   4224/60000 (  7%) ] Loss: 0.3538 top1= 89.2045

=== Log global consensus distance @ E6B10 ===
consensus_distance=0.249



=== Log clique consensus distance @ E6B10 ===
clique1_consensus_distance=0.129
clique2_consensus_distance=0.613


[E 6B20 |   8064/60000 ( 13%) ] Loss: 0.3474 top1= 88.6364

=== Log global consensus distance @ E6B20 ===
consensus_distance=0.258



=== Log clique consensus distance @ E6B20 ===
clique1_consensus_distance=0.132
clique2_consensus_distance=0.635



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.9308 top1= 33.5737


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=3.2541 top1= 20.4327


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=3.4251 top1= 25.2304

Train epoch 7
[E 7B0  |    384/60000 (  1%) ] Loss: 0.3575 top1= 91.1932

=== Log global consensus distance @ E7B0 ===
consensus_distance=0.266



=== Log clique consensus distance @ E7B0 ===
clique1_consensus_distance=0.136
clique2_consensus_distance=0.657


[E 7B10 |   4224/60000 (  7%) ] Loss: 0.3162 top1= 90.3409

=== Log global consensus distance @ E7B10 ===
consensus_distance=0.275



=== Log clique consensus distance @ E7B10 ===
clique1_consensus_distance=0.140
clique2_consensus_distance=0.678


[E 7B20 |   8064/60000 ( 13%) ] Loss: 0.3244 top1= 89.2045

=== Log global consensus distance @ E7B20 ===
consensus_distance=0.283



=== Log clique consensus distance @ E7B20 ===
clique1_consensus_distance=0.146
clique2_consensus_distance=0.692



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.8836 top1= 36.5084


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=3.2371 top1= 24.5693


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=3.4580 top1= 26.2620

Train epoch 8
[E 8B0  |    384/60000 (  1%) ] Loss: 0.2960 top1= 92.0455

=== Log global consensus distance @ E8B0 ===
consensus_distance=0.290



=== Log clique consensus distance @ E8B0 ===
clique1_consensus_distance=0.149
clique2_consensus_distance=0.709


[E 8B10 |   4224/60000 (  7%) ] Loss: 0.2791 top1= 91.7614

=== Log global consensus distance @ E8B10 ===
consensus_distance=0.297



=== Log clique consensus distance @ E8B10 ===
clique1_consensus_distance=0.151
clique2_consensus_distance=0.730


[E 8B20 |   8064/60000 ( 13%) ] Loss: 0.2689 top1= 91.4773

=== Log global consensus distance @ E8B20 ===
consensus_distance=0.303



=== Log clique consensus distance @ E8B20 ===
clique1_consensus_distance=0.152
clique2_consensus_distance=0.746



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.8557 top1= 34.7756


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=3.4321 top1= 21.5144


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=3.5020 top1= 26.3922

Train epoch 9
[E 9B0  |    384/60000 (  1%) ] Loss: 0.2540 top1= 93.4659

=== Log global consensus distance @ E9B0 ===
consensus_distance=0.310



=== Log clique consensus distance @ E9B0 ===
clique1_consensus_distance=0.157
clique2_consensus_distance=0.763


[E 9B10 |   4224/60000 (  7%) ] Loss: 0.2392 top1= 93.1818

=== Log global consensus distance @ E9B10 ===
consensus_distance=0.317



=== Log clique consensus distance @ E9B10 ===
clique1_consensus_distance=0.161
clique2_consensus_distance=0.779


[E 9B20 |   8064/60000 ( 13%) ] Loss: 0.2389 top1= 92.8977

=== Log global consensus distance @ E9B20 ===
consensus_distance=0.323



=== Log clique consensus distance @ E9B20 ===
clique1_consensus_distance=0.164
clique2_consensus_distance=0.792



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.8205 top1= 36.0978


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=3.3965 top1= 25.0300


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=3.5579 top1= 26.2921

Train epoch 10
[E10B0  |    384/60000 (  1%) ] Loss: 0.2264 top1= 94.0341

=== Log global consensus distance @ E10B0 ===
consensus_distance=0.330



=== Log clique consensus distance @ E10B0 ===
clique1_consensus_distance=0.168
clique2_consensus_distance=0.807


[E10B10 |   4224/60000 (  7%) ] Loss: 0.2188 top1= 94.0341

=== Log global consensus distance @ E10B10 ===
consensus_distance=0.335



=== Log clique consensus distance @ E10B10 ===
clique1_consensus_distance=0.170
clique2_consensus_distance=0.822


[E10B20 |   8064/60000 ( 13%) ] Loss: 0.2292 top1= 93.1818

=== Log global consensus distance @ E10B20 ===
consensus_distance=0.341



=== Log clique consensus distance @ E10B20 ===
clique1_consensus_distance=0.171
clique2_consensus_distance=0.837



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.8084 top1= 34.8257


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=3.6190 top1= 21.2941


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=3.6623 top1= 26.7728

