
=== 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=0.005



=== 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: 2.0807 top1= 42.3295

=== Log global consensus distance @ E1B10 ===
consensus_distance=0.036



=== Log clique consensus distance @ E1B10 ===
clique1_consensus_distance=0.001
clique2_consensus_distance=0.032


[E 1B20 |   8064/60000 ( 13%) ] Loss: 1.7329 top1= 51.4205

=== Log global consensus distance @ E1B20 ===
consensus_distance=0.074



=== Log clique consensus distance @ E1B20 ===
clique1_consensus_distance=0.002
clique2_consensus_distance=0.144



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=2.1392 top1= 32.4820


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.5728 top1= 38.3313


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.3842 top1= 33.8542

Train epoch 2
[E 2B0  |    384/60000 (  1%) ] Loss: 1.3493 top1= 67.3295

=== Log global consensus distance @ E2B0 ===
consensus_distance=0.109



=== Log clique consensus distance @ E2B0 ===
clique1_consensus_distance=0.003
clique2_consensus_distance=0.276


[E 2B10 |   4224/60000 (  7%) ] Loss: 1.0881 top1= 74.4318

=== Log global consensus distance @ E2B10 ===
consensus_distance=0.132



=== Log clique consensus distance @ E2B10 ===
clique1_consensus_distance=0.003
clique2_consensus_distance=0.368


[E 2B20 |   8064/60000 ( 13%) ] Loss: 0.8582 top1= 81.8182

=== Log global consensus distance @ E2B20 ===
consensus_distance=0.144



=== Log clique consensus distance @ E2B20 ===
clique1_consensus_distance=0.003
clique2_consensus_distance=0.415



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.7516 top1= 58.4034


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.7053 top1= 39.1927


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.6972 top1= 35.1763

Train epoch 3
[E 3B0  |    384/60000 (  1%) ] Loss: 0.6338 top1= 89.2045

=== Log global consensus distance @ E3B0 ===
consensus_distance=0.149



=== Log clique consensus distance @ E3B0 ===
clique1_consensus_distance=0.003
clique2_consensus_distance=0.439


[E 3B10 |   4224/60000 (  7%) ] Loss: 0.5599 top1= 88.9205

=== Log global consensus distance @ E3B10 ===
consensus_distance=0.147



=== Log clique consensus distance @ E3B10 ===
clique1_consensus_distance=0.003
clique2_consensus_distance=0.432


[E 3B20 |   8064/60000 ( 13%) ] Loss: 0.5035 top1= 88.0682

=== Log global consensus distance @ E3B20 ===
consensus_distance=0.142



=== Log clique consensus distance @ E3B20 ===
clique1_consensus_distance=0.003
clique2_consensus_distance=0.407



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.3931 top1= 69.8818


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.3381 top1= 39.6835


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.5365 top1= 37.4199

Train epoch 4
[E 4B0  |    384/60000 (  1%) ] Loss: 0.3764 top1= 92.0455

=== Log global consensus distance @ E4B0 ===
consensus_distance=0.135



=== Log clique consensus distance @ E4B0 ===
clique1_consensus_distance=0.003
clique2_consensus_distance=0.380


[E 4B10 |   4224/60000 (  7%) ] Loss: 0.3988 top1= 91.1932

=== Log global consensus distance @ E4B10 ===
consensus_distance=0.127



=== Log clique consensus distance @ E4B10 ===
clique1_consensus_distance=0.003
clique2_consensus_distance=0.346


[E 4B20 |   8064/60000 ( 13%) ] Loss: 0.3932 top1= 90.3409

=== Log global consensus distance @ E4B20 ===
consensus_distance=0.120



=== Log clique consensus distance @ E4B20 ===
clique1_consensus_distance=0.003
clique2_consensus_distance=0.314



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.2135 top1= 72.8165


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.1054 top1= 40.1342


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.3637 top1= 39.7436

Train epoch 5
[E 5B0  |    384/60000 (  1%) ] Loss: 0.3056 top1= 92.0455

=== Log global consensus distance @ E5B0 ===
consensus_distance=0.114



=== Log clique consensus distance @ E5B0 ===
clique1_consensus_distance=0.003
clique2_consensus_distance=0.289


[E 5B10 |   4224/60000 (  7%) ] Loss: 0.3481 top1= 92.3295

=== Log global consensus distance @ E5B10 ===
consensus_distance=0.109



=== Log clique consensus distance @ E5B10 ===
clique1_consensus_distance=0.003
clique2_consensus_distance=0.267


[E 5B20 |   8064/60000 ( 13%) ] Loss: 0.3497 top1= 92.3295

=== Log global consensus distance @ E5B20 ===
consensus_distance=0.104



=== Log clique consensus distance @ E5B20 ===
clique1_consensus_distance=0.003
clique2_consensus_distance=0.247



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.1312 top1= 73.7480


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=1.9673 top1= 42.0072


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.2643 top1= 40.6651

Train epoch 6
[E 6B0  |    384/60000 (  1%) ] Loss: 0.2794 top1= 92.8977

=== Log global consensus distance @ E6B0 ===
consensus_distance=0.102



=== Log clique consensus distance @ E6B0 ===
clique1_consensus_distance=0.003
clique2_consensus_distance=0.235


[E 6B10 |   4224/60000 (  7%) ] Loss: 0.3266 top1= 92.8977

=== Log global consensus distance @ E6B10 ===
consensus_distance=0.099



=== Log clique consensus distance @ E6B10 ===
clique1_consensus_distance=0.003
clique2_consensus_distance=0.224


[E 6B20 |   8064/60000 ( 13%) ] Loss: 0.3303 top1= 92.6136

=== Log global consensus distance @ E6B20 ===
consensus_distance=0.097



=== Log clique consensus distance @ E6B20 ===
clique1_consensus_distance=0.003
clique2_consensus_distance=0.213



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.0997 top1= 74.1186


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=1.8950 top1= 43.2893


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.2097 top1= 41.0156

Train epoch 7
[E 7B0  |    384/60000 (  1%) ] Loss: 0.2700 top1= 93.7500

=== Log global consensus distance @ E7B0 ===
consensus_distance=0.095



=== Log clique consensus distance @ E7B0 ===
clique1_consensus_distance=0.003
clique2_consensus_distance=0.208


[E 7B10 |   4224/60000 (  7%) ] Loss: 0.3194 top1= 93.1818

=== Log global consensus distance @ E7B10 ===
consensus_distance=0.094



=== Log clique consensus distance @ E7B10 ===
clique1_consensus_distance=0.003
clique2_consensus_distance=0.204


[E 7B20 |   8064/60000 ( 13%) ] Loss: 0.3250 top1= 93.1818

=== Log global consensus distance @ E7B20 ===
consensus_distance=0.093



=== Log clique consensus distance @ E7B20 ===
clique1_consensus_distance=0.003
clique2_consensus_distance=0.198



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.1022 top1= 74.1186


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=1.8590 top1= 43.7300


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.1848 top1= 41.0958

Train epoch 8
[E 8B0  |    384/60000 (  1%) ] Loss: 0.2710 top1= 93.7500

=== Log global consensus distance @ E8B0 ===
consensus_distance=0.093



=== Log clique consensus distance @ E8B0 ===
clique1_consensus_distance=0.003
clique2_consensus_distance=0.198


[E 8B10 |   4224/60000 (  7%) ] Loss: 0.3220 top1= 93.1818

=== Log global consensus distance @ E8B10 ===
consensus_distance=0.093



=== Log clique consensus distance @ E8B10 ===
clique1_consensus_distance=0.003
clique2_consensus_distance=0.197


[E 8B20 |   8064/60000 ( 13%) ] Loss: 0.3298 top1= 93.4659

=== Log global consensus distance @ E8B20 ===
consensus_distance=0.092



=== Log clique consensus distance @ E8B20 ===
clique1_consensus_distance=0.003
clique2_consensus_distance=0.195



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.1304 top1= 73.6779


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=1.8528 top1= 43.7200


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.1819 top1= 41.0357

Train epoch 9
[E 9B0  |    384/60000 (  1%) ] Loss: 0.2800 top1= 93.7500

=== Log global consensus distance @ E9B0 ===
consensus_distance=0.093



=== Log clique consensus distance @ E9B0 ===
clique1_consensus_distance=0.003
clique2_consensus_distance=0.198


[E 9B10 |   4224/60000 (  7%) ] Loss: 0.3324 top1= 93.1818

=== Log global consensus distance @ E9B10 ===
consensus_distance=0.093



=== Log clique consensus distance @ E9B10 ===
clique1_consensus_distance=0.003
clique2_consensus_distance=0.200


[E 9B20 |   8064/60000 ( 13%) ] Loss: 0.3435 top1= 93.7500

=== Log global consensus distance @ E9B20 ===
consensus_distance=0.094



=== Log clique consensus distance @ E9B20 ===
clique1_consensus_distance=0.003
clique2_consensus_distance=0.201



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.1808 top1= 72.8866


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=1.8678 top1= 43.2893


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.1961 top1= 40.8253

Train epoch 10
[E10B0  |    384/60000 (  1%) ] Loss: 0.2970 top1= 94.0341

=== Log global consensus distance @ E10B0 ===
consensus_distance=0.095



=== Log clique consensus distance @ E10B0 ===
clique1_consensus_distance=0.003
clique2_consensus_distance=0.206


[E10B10 |   4224/60000 (  7%) ] Loss: 0.3509 top1= 92.8977

=== Log global consensus distance @ E10B10 ===
consensus_distance=0.096



=== Log clique consensus distance @ E10B10 ===
clique1_consensus_distance=0.003
clique2_consensus_distance=0.211


[E10B20 |   8064/60000 ( 13%) ] Loss: 0.3665 top1= 93.4659

=== Log global consensus distance @ E10B20 ===
consensus_distance=0.097



=== Log clique consensus distance @ E10B20 ===
clique1_consensus_distance=0.003
clique2_consensus_distance=0.214



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.2523 top1= 71.6647


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=1.9015 top1= 42.6082


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.2231 top1= 40.5349

