
=== 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: 2.1003 top1= 40.3409

=== 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: 1.7310 top1= 51.1364

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



=== Log clique consensus distance @ E1B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.161



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=2.1250 top1= 36.0276


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.7943 top1= 38.1911


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.4545 top1= 32.6022

Train epoch 2
[E 2B0  |    384/60000 (  1%) ] Loss: 1.2715 top1= 66.4773

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



=== Log clique consensus distance @ E2B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.378


[E 2B10 |   4224/60000 (  7%) ] Loss: 0.9656 top1= 75.2841

=== Log global consensus distance @ E2B10 ===
consensus_distance=0.140



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


[E 2B20 |   8064/60000 ( 13%) ] Loss: 0.7216 top1= 82.6705

=== Log global consensus distance @ E2B20 ===
consensus_distance=0.176



=== Log clique consensus distance @ E2B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.740



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.6381 top1= 62.5701


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=3.5724 top1= 39.2829


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.9879 top1= 35.5669

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

=== Log global consensus distance @ E3B0 ===
consensus_distance=0.203



=== Log clique consensus distance @ E3B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.855


[E 3B10 |   4224/60000 (  7%) ] Loss: 0.4184 top1= 90.0568

=== Log global consensus distance @ E3B10 ===
consensus_distance=0.220



=== Log clique consensus distance @ E3B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.928


[E 3B20 |   8064/60000 ( 13%) ] Loss: 0.3930 top1= 89.2045

=== Log global consensus distance @ E3B20 ===
consensus_distance=0.228



=== Log clique consensus distance @ E3B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.965



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.3178 top1= 71.5244


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=3.2391 top1= 39.9740


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=3.2024 top1= 40.9555

Train epoch 4
[E 4B0  |    384/60000 (  1%) ] Loss: 0.2618 top1= 92.6136

=== Log global consensus distance @ E4B0 ===
consensus_distance=0.230



=== Log clique consensus distance @ E4B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.976


[E 4B10 |   4224/60000 (  7%) ] Loss: 0.2760 top1= 92.8977

=== Log global consensus distance @ E4B10 ===
consensus_distance=0.228



=== Log clique consensus distance @ E4B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.964


[E 4B20 |   8064/60000 ( 13%) ] Loss: 0.2906 top1= 91.4773

=== Log global consensus distance @ E4B20 ===
consensus_distance=0.221



=== Log clique consensus distance @ E4B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.938



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.1793 top1= 72.9467


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.9720 top1= 41.3261


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=3.2205 top1= 43.1591

Train epoch 5
[E 5B0  |    384/60000 (  1%) ] Loss: 0.2051 top1= 93.7500

=== Log global consensus distance @ E5B0 ===
consensus_distance=0.214



=== Log clique consensus distance @ E5B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.905


[E 5B10 |   4224/60000 (  7%) ] Loss: 0.2273 top1= 94.8864

=== Log global consensus distance @ E5B10 ===
consensus_distance=0.205



=== Log clique consensus distance @ E5B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.867


[E 5B20 |   8064/60000 ( 13%) ] Loss: 0.2425 top1= 93.1818

=== Log global consensus distance @ E5B20 ===
consensus_distance=0.195



=== Log clique consensus distance @ E5B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.826



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.0779 top1= 74.6494


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.8112 top1= 44.2708


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=3.1352 top1= 43.8401

Train epoch 6
[E 6B0  |    384/60000 (  1%) ] Loss: 0.1752 top1= 93.7500

=== Log global consensus distance @ E6B0 ===
consensus_distance=0.185



=== Log clique consensus distance @ E6B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.784


[E 6B10 |   4224/60000 (  7%) ] Loss: 0.1999 top1= 95.1705

=== Log global consensus distance @ E6B10 ===
consensus_distance=0.176



=== Log clique consensus distance @ E6B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.742


[E 6B20 |   8064/60000 ( 13%) ] Loss: 0.2130 top1= 93.1818

=== Log global consensus distance @ E6B20 ===
consensus_distance=0.166



=== Log clique consensus distance @ E6B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.700



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.9956 top1= 75.7212


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.6610 top1= 45.9335


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=3.0080 top1= 44.2007

Train epoch 7
[E 7B0  |    384/60000 (  1%) ] Loss: 0.1539 top1= 94.6023

=== Log global consensus distance @ E7B0 ===
consensus_distance=0.156



=== Log clique consensus distance @ E7B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.661


[E 7B10 |   4224/60000 (  7%) ] Loss: 0.1819 top1= 95.4545

=== Log global consensus distance @ E7B10 ===
consensus_distance=0.147



=== Log clique consensus distance @ E7B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.621


[E 7B20 |   8064/60000 ( 13%) ] Loss: 0.1921 top1= 94.0341

=== Log global consensus distance @ E7B20 ===
consensus_distance=0.138



=== Log clique consensus distance @ E7B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.583



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.9259 top1= 76.4223


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.5147 top1= 46.7248


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.8671 top1= 44.3810

Train epoch 8
[E 8B0  |    384/60000 (  1%) ] Loss: 0.1380 top1= 96.3068

=== Log global consensus distance @ E8B0 ===
consensus_distance=0.130



=== Log clique consensus distance @ E8B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.548


[E 8B10 |   4224/60000 (  7%) ] Loss: 0.1684 top1= 96.3068

=== Log global consensus distance @ E8B10 ===
consensus_distance=0.122



=== Log clique consensus distance @ E8B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.514


[E 8B20 |   8064/60000 ( 13%) ] Loss: 0.1756 top1= 94.8864

=== Log global consensus distance @ E8B20 ===
consensus_distance=0.115



=== Log clique consensus distance @ E8B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.482



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.8673 top1= 76.7027


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.3786 top1= 47.3157


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.7234 top1= 44.4611

Train epoch 9
[E 9B0  |    384/60000 (  1%) ] Loss: 0.1247 top1= 96.5909

=== Log global consensus distance @ E9B0 ===
consensus_distance=0.108



=== Log clique consensus distance @ E9B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.452


[E 9B10 |   4224/60000 (  7%) ] Loss: 0.1568 top1= 96.3068

=== Log global consensus distance @ E9B10 ===
consensus_distance=0.101



=== Log clique consensus distance @ E9B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.423


[E 9B20 |   8064/60000 ( 13%) ] Loss: 0.1623 top1= 94.8864

=== Log global consensus distance @ E9B20 ===
consensus_distance=0.095



=== Log clique consensus distance @ E9B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.397



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.8168 top1= 76.8630


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.2515 top1= 48.0168


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.5947 top1= 44.5713

Train epoch 10
[E10B0  |    384/60000 (  1%) ] Loss: 0.1135 top1= 96.8750

=== Log global consensus distance @ E10B0 ===
consensus_distance=0.089



=== Log clique consensus distance @ E10B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.373


[E10B10 |   4224/60000 (  7%) ] Loss: 0.1467 top1= 96.3068

=== Log global consensus distance @ E10B10 ===
consensus_distance=0.083



=== Log clique consensus distance @ E10B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.349


[E10B20 |   8064/60000 ( 13%) ] Loss: 0.1510 top1= 95.1705

=== Log global consensus distance @ E10B20 ===
consensus_distance=0.078



=== Log clique consensus distance @ E10B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.327



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.7732 top1= 76.8930


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.1323 top1= 49.0084


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.4797 top1= 44.7316

