
=== 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: 2.0969 top1= 40.6250

=== Log global consensus distance @ E1B10 ===
consensus_distance=0.007



=== Log clique consensus distance @ E1B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.030


[E 1B20 |   8064/60000 ( 13%) ] Loss: 1.7256 top1= 52.2727

=== Log global consensus distance @ E1B20 ===
consensus_distance=0.039



=== Log clique consensus distance @ E1B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.163



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=2.1241 top1= 34.9159


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.8025 top1= 38.1911


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.4580 top1= 32.6723

Train epoch 2
[E 2B0  |    384/60000 (  1%) ] Loss: 1.2679 top1= 67.0455

=== Log global consensus distance @ E2B0 ===
consensus_distance=0.090



=== Log clique consensus distance @ E2B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.380


[E 2B10 |   4224/60000 (  7%) ] Loss: 0.9650 top1= 75.2841

=== Log global consensus distance @ E2B10 ===
consensus_distance=0.139



=== Log clique consensus distance @ E2B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.585


[E 2B20 |   8064/60000 ( 13%) ] Loss: 0.7217 top1= 82.9545

=== Log global consensus distance @ E2B20 ===
consensus_distance=0.175



=== Log clique consensus distance @ E2B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.737



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.6363 top1= 61.1078


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=3.5714 top1= 39.2929


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.9773 top1= 35.5168

Train epoch 3
[E 3B0  |    384/60000 (  1%) ] Loss: 0.4827 top1= 88.9205

=== Log global consensus distance @ E3B0 ===
consensus_distance=0.201



=== Log clique consensus distance @ E3B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.850


[E 3B10 |   4224/60000 (  7%) ] Loss: 0.4203 top1= 90.0568

=== Log global consensus distance @ E3B10 ===
consensus_distance=0.217



=== Log clique consensus distance @ E3B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.921


[E 3B20 |   8064/60000 ( 13%) ] Loss: 0.3947 top1= 89.2045

=== Log global consensus distance @ E3B20 ===
consensus_distance=0.226



=== Log clique consensus distance @ E3B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.958



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.3123 top1= 71.0938


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=3.2312 top1= 39.9840


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=3.1899 top1= 40.9655

Train epoch 4
[E 4B0  |    384/60000 (  1%) ] Loss: 0.2637 top1= 92.6136

=== Log global consensus distance @ E4B0 ===
consensus_distance=0.228



=== Log clique consensus distance @ E4B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.968


[E 4B10 |   4224/60000 (  7%) ] Loss: 0.2796 top1= 92.6136

=== Log global consensus distance @ E4B10 ===
consensus_distance=0.225



=== Log clique consensus distance @ E4B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.955


[E 4B20 |   8064/60000 ( 13%) ] Loss: 0.2925 top1= 91.4773

=== Log global consensus distance @ E4B20 ===
consensus_distance=0.218



=== Log clique consensus distance @ E4B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.928



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.1720 top1= 73.1871


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.9612 top1= 41.2460


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=3.2063 top1= 43.1591

Train epoch 5
[E 5B0  |    384/60000 (  1%) ] Loss: 0.2072 top1= 93.7500

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



=== Log clique consensus distance @ E5B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.894


[E 5B10 |   4224/60000 (  7%) ] Loss: 0.2310 top1= 94.8864

=== Log global consensus distance @ E5B10 ===
consensus_distance=0.201



=== Log clique consensus distance @ E5B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.855


[E 5B20 |   8064/60000 ( 13%) ] Loss: 0.2445 top1= 92.8977

=== Log global consensus distance @ E5B20 ===
consensus_distance=0.192



=== Log clique consensus distance @ E5B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.814



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.0694 top1= 74.8598


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.7951 top1= 44.1707


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=3.1157 top1= 43.8301

Train epoch 6
[E 6B0  |    384/60000 (  1%) ] Loss: 0.1775 top1= 93.7500

=== Log global consensus distance @ E6B0 ===
consensus_distance=0.182



=== Log clique consensus distance @ E6B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.772


[E 6B10 |   4224/60000 (  7%) ] Loss: 0.2035 top1= 95.4545

=== Log global consensus distance @ E6B10 ===
consensus_distance=0.172



=== Log clique consensus distance @ E6B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.729


[E 6B20 |   8064/60000 ( 13%) ] Loss: 0.2152 top1= 93.4659

=== Log global consensus distance @ E6B20 ===
consensus_distance=0.162



=== Log clique consensus distance @ E6B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.687



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.9863 top1= 76.0116


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.6378 top1= 45.9135


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.9853 top1= 44.1907

Train epoch 7
[E 7B0  |    384/60000 (  1%) ] Loss: 0.1562 top1= 94.8864

=== Log global consensus distance @ E7B0 ===
consensus_distance=0.152



=== Log clique consensus distance @ E7B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.647


[E 7B10 |   4224/60000 (  7%) ] Loss: 0.1860 top1= 95.4545

=== Log global consensus distance @ E7B10 ===
consensus_distance=0.143



=== Log clique consensus distance @ E7B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.606


[E 7B20 |   8064/60000 ( 13%) ] Loss: 0.1946 top1= 93.7500

=== Log global consensus distance @ E7B20 ===
consensus_distance=0.134



=== Log clique consensus distance @ E7B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.568



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.9154 top1= 76.7328


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.4913 top1= 46.6847


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.8312 top1= 44.3810

Train epoch 8
[E 8B0  |    384/60000 (  1%) ] Loss: 0.1402 top1= 96.3068

=== Log global consensus distance @ E8B0 ===
consensus_distance=0.126



=== Log clique consensus distance @ E8B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.533


[E 8B10 |   4224/60000 (  7%) ] Loss: 0.1725 top1= 96.3068

=== Log global consensus distance @ E8B10 ===
consensus_distance=0.117



=== Log clique consensus distance @ E8B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.497


[E 8B20 |   8064/60000 ( 13%) ] Loss: 0.1786 top1= 94.6023

=== Log global consensus distance @ E8B20 ===
consensus_distance=0.110



=== Log clique consensus distance @ E8B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.464



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.8540 top1= 77.4239


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.3519 top1= 47.2356


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.6757 top1= 44.4511

Train epoch 9
[E 9B0  |    384/60000 (  1%) ] Loss: 0.1274 top1= 96.5909

=== Log global consensus distance @ E9B0 ===
consensus_distance=0.103



=== Log clique consensus distance @ E9B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.434


[E 9B10 |   4224/60000 (  7%) ] Loss: 0.1618 top1= 96.3068

=== Log global consensus distance @ E9B10 ===
consensus_distance=0.096



=== Log clique consensus distance @ E9B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.404


[E 9B20 |   8064/60000 ( 13%) ] Loss: 0.1653 top1= 94.6023

=== Log global consensus distance @ E9B20 ===
consensus_distance=0.089



=== Log clique consensus distance @ E9B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.377



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.8016 top1= 77.9347


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.2196 top1= 47.8966


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.5281 top1= 44.5112

Train epoch 10
[E10B0  |    384/60000 (  1%) ] Loss: 0.1165 top1= 96.8750

=== Log global consensus distance @ E10B0 ===
consensus_distance=0.083



=== Log clique consensus distance @ E10B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.352


[E10B10 |   4224/60000 (  7%) ] Loss: 0.1522 top1= 96.3068

=== Log global consensus distance @ E10B10 ===
consensus_distance=0.077



=== Log clique consensus distance @ E10B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.327


[E10B20 |   8064/60000 ( 13%) ] Loss: 0.1541 top1= 95.1705

=== Log global consensus distance @ E10B20 ===
consensus_distance=0.072



=== Log clique consensus distance @ E10B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.305



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.7540 top1= 78.1951


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.0915 top1= 48.7881


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.3906 top1= 44.6615

