
=== 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=0.005



=== 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: 2.0822 top1= 42.0455

=== Log global consensus distance @ E1B10 ===
consensus_distance=0.060



=== Log clique consensus distance @ E1B10 ===
clique1_consensus_distance=0.003
clique2_consensus_distance=0.034


[E 1B20 |   8064/60000 ( 13%) ] Loss: 1.7472 top1= 50.2841

=== Log global consensus distance @ E1B20 ===
consensus_distance=0.087



=== Log clique consensus distance @ E1B20 ===
clique1_consensus_distance=0.003
clique2_consensus_distance=0.143



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=2.1446 top1= 31.9611


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.5562 top1= 37.9307


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.3744 top1= 33.7941

Train epoch 2
[E 2B0  |    384/60000 (  1%) ] Loss: 1.3665 top1= 68.1818

=== Log global consensus distance @ E2B0 ===
consensus_distance=0.117



=== Log clique consensus distance @ E2B0 ===
clique1_consensus_distance=0.004
clique2_consensus_distance=0.272


[E 2B10 |   4224/60000 (  7%) ] Loss: 1.1001 top1= 73.2955

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



=== Log clique consensus distance @ E2B10 ===
clique1_consensus_distance=0.004
clique2_consensus_distance=0.365


[E 2B20 |   8064/60000 ( 13%) ] Loss: 0.8672 top1= 81.8182

=== Log global consensus distance @ E2B20 ===
consensus_distance=0.150



=== Log clique consensus distance @ E2B20 ===
clique1_consensus_distance=0.004
clique2_consensus_distance=0.413



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.7590 top1= 57.9427


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.7212 top1= 39.2027


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.7176 top1= 35.1562

Train epoch 3
[E 3B0  |    384/60000 (  1%) ] Loss: 0.6439 top1= 89.2045

=== Log global consensus distance @ E3B0 ===
consensus_distance=0.155



=== Log clique consensus distance @ E3B0 ===
clique1_consensus_distance=0.004
clique2_consensus_distance=0.436


[E 3B10 |   4224/60000 (  7%) ] Loss: 0.5668 top1= 88.0682

=== Log global consensus distance @ E3B10 ===
consensus_distance=0.153



=== Log clique consensus distance @ E3B10 ===
clique1_consensus_distance=0.004
clique2_consensus_distance=0.428


[E 3B20 |   8064/60000 ( 13%) ] Loss: 0.5074 top1= 88.0682

=== Log global consensus distance @ E3B20 ===
consensus_distance=0.147



=== Log clique consensus distance @ E3B20 ===
clique1_consensus_distance=0.004
clique2_consensus_distance=0.403



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.3988 top1= 69.7216


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.3397 top1= 39.6534


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.5449 top1= 37.2897

Train epoch 4
[E 4B0  |    384/60000 (  1%) ] Loss: 0.3821 top1= 92.0455

=== Log global consensus distance @ E4B0 ===
consensus_distance=0.141



=== Log clique consensus distance @ E4B0 ===
clique1_consensus_distance=0.004
clique2_consensus_distance=0.377


[E 4B10 |   4224/60000 (  7%) ] Loss: 0.4035 top1= 91.1932

=== Log global consensus distance @ E4B10 ===
consensus_distance=0.133



=== Log clique consensus distance @ E4B10 ===
clique1_consensus_distance=0.004
clique2_consensus_distance=0.344


[E 4B20 |   8064/60000 ( 13%) ] Loss: 0.3979 top1= 90.3409

=== Log global consensus distance @ E4B20 ===
consensus_distance=0.126



=== Log clique consensus distance @ E4B20 ===
clique1_consensus_distance=0.003
clique2_consensus_distance=0.312



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.2297 top1= 72.6062


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.1065 top1= 40.1442


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.3692 top1= 39.5833

Train epoch 5
[E 5B0  |    384/60000 (  1%) ] Loss: 0.3142 top1= 92.0455

=== Log global consensus distance @ E5B0 ===
consensus_distance=0.120



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


[E 5B10 |   4224/60000 (  7%) ] Loss: 0.3562 top1= 92.0455

=== Log global consensus distance @ E5B10 ===
consensus_distance=0.116



=== Log clique consensus distance @ E5B10 ===
clique1_consensus_distance=0.003
clique2_consensus_distance=0.268


[E 5B20 |   8064/60000 ( 13%) ] Loss: 0.3586 top1= 92.0455

=== Log global consensus distance @ E5B20 ===
consensus_distance=0.111



=== Log clique consensus distance @ E5B20 ===
clique1_consensus_distance=0.003
clique2_consensus_distance=0.249



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.1625 top1= 73.5276


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=1.9817 top1= 41.6867


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.2751 top1= 40.5549

Train epoch 6
[E 6B0  |    384/60000 (  1%) ] Loss: 0.2926 top1= 93.1818

=== Log global consensus distance @ E6B0 ===
consensus_distance=0.109



=== Log clique consensus distance @ E6B0 ===
clique1_consensus_distance=0.003
clique2_consensus_distance=0.238


[E 6B10 |   4224/60000 (  7%) ] Loss: 0.3393 top1= 92.6136

=== Log global consensus distance @ E6B10 ===
consensus_distance=0.107



=== Log clique consensus distance @ E6B10 ===
clique1_consensus_distance=0.003
clique2_consensus_distance=0.229


[E 6B20 |   8064/60000 ( 13%) ] Loss: 0.3447 top1= 92.3295

=== Log global consensus distance @ E6B20 ===
consensus_distance=0.104



=== Log clique consensus distance @ E6B20 ===
clique1_consensus_distance=0.003
clique2_consensus_distance=0.220



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.1471 top1= 73.7580


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=1.9220 top1= 42.6783


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.2279 top1= 40.8153

Train epoch 7
[E 7B0  |    384/60000 (  1%) ] Loss: 0.2883 top1= 93.1818

=== Log global consensus distance @ E7B0 ===
consensus_distance=0.104



=== Log clique consensus distance @ E7B0 ===
clique1_consensus_distance=0.003
clique2_consensus_distance=0.216


[E 7B10 |   4224/60000 (  7%) ] Loss: 0.3378 top1= 92.8977

=== Log global consensus distance @ E7B10 ===
consensus_distance=0.103



=== Log clique consensus distance @ E7B10 ===
clique1_consensus_distance=0.003
clique2_consensus_distance=0.213


[E 7B20 |   8064/60000 ( 13%) ] Loss: 0.3460 top1= 93.1818

=== Log global consensus distance @ E7B20 ===
consensus_distance=0.102



=== Log clique consensus distance @ E7B20 ===
clique1_consensus_distance=0.003
clique2_consensus_distance=0.210



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.1684 top1= 73.4675


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=1.8998 top1= 42.9287


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.2148 top1= 40.8053

Train epoch 8
[E 8B0  |    384/60000 (  1%) ] Loss: 0.2955 top1= 93.4659

=== Log global consensus distance @ E8B0 ===
consensus_distance=0.102



=== Log clique consensus distance @ E8B0 ===
clique1_consensus_distance=0.003
clique2_consensus_distance=0.211


[E 8B10 |   4224/60000 (  7%) ] Loss: 0.3471 top1= 92.8977

=== Log global consensus distance @ E8B10 ===
consensus_distance=0.102



=== Log clique consensus distance @ E8B10 ===
clique1_consensus_distance=0.003
clique2_consensus_distance=0.212


[E 8B20 |   8064/60000 ( 13%) ] Loss: 0.3593 top1= 93.1818

=== Log global consensus distance @ E8B20 ===
consensus_distance=0.102



=== Log clique consensus distance @ E8B20 ===
clique1_consensus_distance=0.003
clique2_consensus_distance=0.212



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.2181 top1= 72.6963


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=1.9082 top1= 42.6482


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.2237 top1= 40.6350

Train epoch 9
[E 9B0  |    384/60000 (  1%) ] Loss: 0.3128 top1= 93.7500

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



=== Log clique consensus distance @ E9B0 ===
clique1_consensus_distance=0.003
clique2_consensus_distance=0.217


[E 9B10 |   4224/60000 (  7%) ] Loss: 0.3666 top1= 92.8977

=== Log global consensus distance @ E9B10 ===
consensus_distance=0.104



=== Log clique consensus distance @ E9B10 ===
clique1_consensus_distance=0.003
clique2_consensus_distance=0.222


[E 9B20 |   8064/60000 ( 13%) ] Loss: 0.3842 top1= 93.1818

=== Log global consensus distance @ E9B20 ===
consensus_distance=0.105



=== Log clique consensus distance @ E9B20 ===
clique1_consensus_distance=0.003
clique2_consensus_distance=0.225



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.2931 top1= 71.2841


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=1.9399 top1= 41.9371


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.2485 top1= 40.2744

Train epoch 10
[E10B0  |    384/60000 (  1%) ] Loss: 0.3406 top1= 94.3182

=== Log global consensus distance @ E10B0 ===
consensus_distance=0.107



=== Log clique consensus distance @ E10B0 ===
clique1_consensus_distance=0.003
clique2_consensus_distance=0.233


[E10B10 |   4224/60000 (  7%) ] Loss: 0.3971 top1= 93.1818

=== Log global consensus distance @ E10B10 ===
consensus_distance=0.108



=== Log clique consensus distance @ E10B10 ===
clique1_consensus_distance=0.003
clique2_consensus_distance=0.241


[E10B20 |   8064/60000 ( 13%) ] Loss: 0.4226 top1= 93.1818

=== Log global consensus distance @ E10B20 ===
consensus_distance=0.110



=== Log clique consensus distance @ E10B20 ===
clique1_consensus_distance=0.003
clique2_consensus_distance=0.248



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.3917 top1= 69.3810


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=1.9918 top1= 40.9054


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.2852 top1= 39.7837

