
=== 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: 2.0681 top1= 42.0455

=== 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: 1.6681 top1= 51.9886

=== Log global consensus distance @ E1B20 ===
consensus_distance=0.034



=== Log clique consensus distance @ E1B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.147



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=2.0841 top1= 33.6238


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.6715 top1= 38.7420


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.4264 top1= 33.7340

Train epoch 2
[E 2B0  |    384/60000 (  1%) ] Loss: 1.2072 top1= 69.0341

=== Log global consensus distance @ E2B0 ===
consensus_distance=0.066



=== Log clique consensus distance @ E2B0 ===
clique1_consensus_distance=0.001
clique2_consensus_distance=0.282


[E 2B10 |   4224/60000 (  7%) ] Loss: 0.9086 top1= 76.7045

=== Log global consensus distance @ E2B10 ===
consensus_distance=0.085



=== Log clique consensus distance @ E2B10 ===
clique1_consensus_distance=0.001
clique2_consensus_distance=0.366


[E 2B20 |   8064/60000 ( 13%) ] Loss: 0.6728 top1= 84.6591

=== Log global consensus distance @ E2B20 ===
consensus_distance=0.092



=== Log clique consensus distance @ E2B20 ===
clique1_consensus_distance=0.001
clique2_consensus_distance=0.397



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.4727 top1= 66.1358


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.7258 top1= 39.3630


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.7133 top1= 35.6871

Train epoch 3
[E 3B0  |    384/60000 (  1%) ] Loss: 0.4442 top1= 90.6250

=== Log global consensus distance @ E3B0 ===
consensus_distance=0.092



=== Log clique consensus distance @ E3B0 ===
clique1_consensus_distance=0.001
clique2_consensus_distance=0.398


[E 3B10 |   4224/60000 (  7%) ] Loss: 0.4001 top1= 90.0568

=== Log global consensus distance @ E3B10 ===
consensus_distance=0.084



=== Log clique consensus distance @ E3B10 ===
clique1_consensus_distance=0.001
clique2_consensus_distance=0.365


[E 3B20 |   8064/60000 ( 13%) ] Loss: 0.3676 top1= 89.2045

=== Log global consensus distance @ E3B20 ===
consensus_distance=0.074



=== Log clique consensus distance @ E3B20 ===
clique1_consensus_distance=0.001
clique2_consensus_distance=0.320



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.0387 top1= 73.7981


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.1692 top1= 40.7552


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.4190 top1= 40.2644

Train epoch 4
[E 4B0  |    384/60000 (  1%) ] Loss: 0.2493 top1= 93.4659

=== Log global consensus distance @ E4B0 ===
consensus_distance=0.064



=== Log clique consensus distance @ E4B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.277


[E 4B10 |   4224/60000 (  7%) ] Loss: 0.2821 top1= 93.1818

=== Log global consensus distance @ E4B10 ===
consensus_distance=0.055



=== Log clique consensus distance @ E4B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.238


[E 4B20 |   8064/60000 ( 13%) ] Loss: 0.2753 top1= 92.6136

=== Log global consensus distance @ E4B20 ===
consensus_distance=0.047



=== Log clique consensus distance @ E4B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.203



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.8414 top1= 75.8914


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=1.8908 top1= 46.0437


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.1796 top1= 43.1591

Train epoch 5
[E 5B0  |    384/60000 (  1%) ] Loss: 0.1923 top1= 94.6023

=== Log global consensus distance @ E5B0 ===
consensus_distance=0.041



=== Log clique consensus distance @ E5B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.177


[E 5B10 |   4224/60000 (  7%) ] Loss: 0.2340 top1= 94.0341

=== Log global consensus distance @ E5B10 ===
consensus_distance=0.036



=== Log clique consensus distance @ E5B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.156


[E 5B20 |   8064/60000 ( 13%) ] Loss: 0.2295 top1= 92.8977

=== Log global consensus distance @ E5B20 ===
consensus_distance=0.032



=== Log clique consensus distance @ E5B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.138



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.7307 top1= 77.2035


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=1.7164 top1= 49.8998


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.0130 top1= 47.8966

Train epoch 6
[E 6B0  |    384/60000 (  1%) ] Loss: 0.1623 top1= 95.1705

=== Log global consensus distance @ E6B0 ===
consensus_distance=0.029



=== Log clique consensus distance @ E6B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.125


[E 6B10 |   4224/60000 (  7%) ] Loss: 0.2038 top1= 94.8864

=== Log global consensus distance @ E6B10 ===
consensus_distance=0.027



=== Log clique consensus distance @ E6B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.114


[E 6B20 |   8064/60000 ( 13%) ] Loss: 0.1997 top1= 93.7500

=== Log global consensus distance @ E6B20 ===
consensus_distance=0.024



=== Log clique consensus distance @ E6B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.104



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.6577 top1= 78.0749


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=1.5988 top1= 52.3638


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=1.9008 top1= 50.3606

Train epoch 7
[E 7B0  |    384/60000 (  1%) ] Loss: 0.1417 top1= 96.0227

=== Log global consensus distance @ E7B0 ===
consensus_distance=0.023



=== Log clique consensus distance @ E7B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.098


[E 7B10 |   4224/60000 (  7%) ] Loss: 0.1827 top1= 95.4545

=== Log global consensus distance @ E7B10 ===
consensus_distance=0.021



=== Log clique consensus distance @ E7B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.091


[E 7B20 |   8064/60000 ( 13%) ] Loss: 0.1777 top1= 94.6023

=== Log global consensus distance @ E7B20 ===
consensus_distance=0.020



=== Log clique consensus distance @ E7B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.085



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.6058 top1= 78.7360


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=1.5151 top1= 54.2568


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=1.8197 top1= 51.6126

Train epoch 8
[E 8B0  |    384/60000 (  1%) ] Loss: 0.1259 top1= 96.3068

=== Log global consensus distance @ E8B0 ===
consensus_distance=0.019



=== Log clique consensus distance @ E8B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.081


[E 8B10 |   4224/60000 (  7%) ] Loss: 0.1653 top1= 95.4545

=== Log global consensus distance @ E8B10 ===
consensus_distance=0.018



=== Log clique consensus distance @ E8B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.077


[E 8B20 |   8064/60000 ( 13%) ] Loss: 0.1603 top1= 94.8864

=== Log global consensus distance @ E8B20 ===
consensus_distance=0.017



=== Log clique consensus distance @ E8B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.073



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.5666 top1= 79.3670


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=1.4584 top1= 55.9495


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=1.7594 top1= 52.4639

Train epoch 9
[E 9B0  |    384/60000 (  1%) ] Loss: 0.1130 top1= 96.8750

=== Log global consensus distance @ E9B0 ===
consensus_distance=0.017



=== Log clique consensus distance @ E9B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.071


[E 9B10 |   4224/60000 (  7%) ] Loss: 0.1508 top1= 96.0227

=== Log global consensus distance @ E9B10 ===
consensus_distance=0.016



=== Log clique consensus distance @ E9B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.067


[E 9B20 |   8064/60000 ( 13%) ] Loss: 0.1458 top1= 95.4545

=== Log global consensus distance @ E9B20 ===
consensus_distance=0.015



=== Log clique consensus distance @ E9B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.064



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.5354 top1= 80.4788


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=1.4112 top1= 57.2716


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=1.7077 top1= 53.1550

Train epoch 10
[E10B0  |    384/60000 (  1%) ] Loss: 0.1022 top1= 96.8750

=== Log global consensus distance @ E10B0 ===
consensus_distance=0.015



=== Log clique consensus distance @ E10B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.063


[E10B10 |   4224/60000 (  7%) ] Loss: 0.1374 top1= 96.3068

=== Log global consensus distance @ E10B10 ===
consensus_distance=0.014



=== Log clique consensus distance @ E10B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.060


[E10B20 |   8064/60000 ( 13%) ] Loss: 0.1336 top1= 95.4545

=== Log global consensus distance @ E10B20 ===
consensus_distance=0.014



=== Log clique consensus distance @ E10B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.058



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.5105 top1= 81.5705


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=1.3759 top1= 58.5737


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=1.6640 top1= 53.8962

