
=== 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: 2.0805 top1= 42.3295

=== 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: 1.7239 top1= 51.1364

=== Log global consensus distance @ E1B20 ===
consensus_distance=0.038



=== Log clique consensus distance @ E1B20 ===
clique1_consensus_distance=0.001
clique2_consensus_distance=0.145



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=2.1200 top1= 39.6234


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.5631 top1= 38.3213


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.3855 top1= 34.5553

Train epoch 2
[E 2B0  |    384/60000 (  1%) ] Loss: 1.3089 top1= 67.8977

=== Log global consensus distance @ E2B0 ===
consensus_distance=0.074



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


[E 2B10 |   4224/60000 (  7%) ] Loss: 1.0148 top1= 76.4205

=== Log global consensus distance @ E2B10 ===
consensus_distance=0.098



=== Log clique consensus distance @ E2B10 ===
clique1_consensus_distance=0.001
clique2_consensus_distance=0.374


[E 2B20 |   8064/60000 ( 13%) ] Loss: 0.7685 top1= 83.8068

=== Log global consensus distance @ E2B20 ===
consensus_distance=0.109



=== Log clique consensus distance @ E2B20 ===
clique1_consensus_distance=0.001
clique2_consensus_distance=0.415



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.6392 top1= 67.1274


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.5983 top1= 39.1927


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.5933 top1= 35.6270

Train epoch 3
[E 3B0  |    384/60000 (  1%) ] Loss: 0.5453 top1= 89.4886

=== Log global consensus distance @ E3B0 ===
consensus_distance=0.112



=== Log clique consensus distance @ E3B0 ===
clique1_consensus_distance=0.001
clique2_consensus_distance=0.429


[E 3B10 |   4224/60000 (  7%) ] Loss: 0.4812 top1= 89.7727

=== Log global consensus distance @ E3B10 ===
consensus_distance=0.107



=== Log clique consensus distance @ E3B10 ===
clique1_consensus_distance=0.001
clique2_consensus_distance=0.411


[E 3B20 |   8064/60000 ( 13%) ] Loss: 0.4300 top1= 89.4886

=== Log global consensus distance @ E3B20 ===
consensus_distance=0.099



=== Log clique consensus distance @ E3B20 ===
clique1_consensus_distance=0.001
clique2_consensus_distance=0.378



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.2477 top1= 73.6579


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.2412 top1= 39.7436


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.3828 top1= 39.0024

Train epoch 4
[E 4B0  |    384/60000 (  1%) ] Loss: 0.3149 top1= 93.1818

=== Log global consensus distance @ E4B0 ===
consensus_distance=0.089



=== Log clique consensus distance @ E4B0 ===
clique1_consensus_distance=0.001
clique2_consensus_distance=0.342


[E 4B10 |   4224/60000 (  7%) ] Loss: 0.3378 top1= 92.3295

=== Log global consensus distance @ E4B10 ===
consensus_distance=0.079



=== Log clique consensus distance @ E4B10 ===
clique1_consensus_distance=0.001
clique2_consensus_distance=0.303


[E 4B20 |   8064/60000 ( 13%) ] Loss: 0.3256 top1= 92.6136

=== Log global consensus distance @ E4B20 ===
consensus_distance=0.070



=== Log clique consensus distance @ E4B20 ===
clique1_consensus_distance=0.001
clique2_consensus_distance=0.266



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.0293 top1= 75.4107


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.0083 top1= 42.6182


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.2128 top1= 41.6366

Train epoch 5
[E 5B0  |    384/60000 (  1%) ] Loss: 0.2437 top1= 92.8977

=== Log global consensus distance @ E5B0 ===
consensus_distance=0.062



=== Log clique consensus distance @ E5B0 ===
clique1_consensus_distance=0.001
clique2_consensus_distance=0.238


[E 5B10 |   4224/60000 (  7%) ] Loss: 0.2764 top1= 93.1818

=== Log global consensus distance @ E5B10 ===
consensus_distance=0.056



=== Log clique consensus distance @ E5B10 ===
clique1_consensus_distance=0.001
clique2_consensus_distance=0.213


[E 5B20 |   8064/60000 ( 13%) ] Loss: 0.2722 top1= 93.1818

=== Log global consensus distance @ E5B20 ===
consensus_distance=0.051



=== Log clique consensus distance @ E5B20 ===
clique1_consensus_distance=0.001
clique2_consensus_distance=0.192



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.8933 top1= 76.3021


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=1.8712 top1= 45.4728


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.0922 top1= 42.5481

Train epoch 6
[E 6B0  |    384/60000 (  1%) ] Loss: 0.2025 top1= 94.3182

=== Log global consensus distance @ E6B0 ===
consensus_distance=0.046



=== Log clique consensus distance @ E6B0 ===
clique1_consensus_distance=0.001
clique2_consensus_distance=0.176


[E 6B10 |   4224/60000 (  7%) ] Loss: 0.2396 top1= 93.7500

=== Log global consensus distance @ E6B10 ===
consensus_distance=0.043



=== Log clique consensus distance @ E6B10 ===
clique1_consensus_distance=0.001
clique2_consensus_distance=0.162


[E 6B20 |   8064/60000 ( 13%) ] Loss: 0.2377 top1= 93.7500

=== Log global consensus distance @ E6B20 ===
consensus_distance=0.040



=== Log clique consensus distance @ E6B20 ===
clique1_consensus_distance=0.001
clique2_consensus_distance=0.149



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.8020 top1= 76.7829


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=1.7821 top1= 47.2155


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.0041 top1= 43.2492

Train epoch 7
[E 7B0  |    384/60000 (  1%) ] Loss: 0.1742 top1= 95.4545

=== Log global consensus distance @ E7B0 ===
consensus_distance=0.037



=== Log clique consensus distance @ E7B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.141


[E 7B10 |   4224/60000 (  7%) ] Loss: 0.2137 top1= 94.0341

=== Log global consensus distance @ E7B10 ===
consensus_distance=0.035



=== Log clique consensus distance @ E7B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.132


[E 7B20 |   8064/60000 ( 13%) ] Loss: 0.2138 top1= 94.0341

=== Log global consensus distance @ E7B20 ===
consensus_distance=0.033



=== Log clique consensus distance @ E7B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.124



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.7347 top1= 77.3438


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=1.7035 top1= 48.6178


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=1.9407 top1= 44.3309

Train epoch 8
[E 8B0  |    384/60000 (  1%) ] Loss: 0.1543 top1= 96.3068

=== Log global consensus distance @ E8B0 ===
consensus_distance=0.031



=== Log clique consensus distance @ E8B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.118


[E 8B10 |   4224/60000 (  7%) ] Loss: 0.1937 top1= 94.6023

=== Log global consensus distance @ E8B10 ===
consensus_distance=0.030



=== Log clique consensus distance @ E8B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.112


[E 8B20 |   8064/60000 ( 13%) ] Loss: 0.1954 top1= 94.6023

=== Log global consensus distance @ E8B20 ===
consensus_distance=0.028



=== Log clique consensus distance @ E8B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.107



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.6823 top1= 77.8345


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=1.6493 top1= 49.8097


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=1.8965 top1= 45.6230

Train epoch 9
[E 9B0  |    384/60000 (  1%) ] Loss: 0.1383 top1= 96.8750

=== Log global consensus distance @ E9B0 ===
consensus_distance=0.027



=== Log clique consensus distance @ E9B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.103


[E 9B10 |   4224/60000 (  7%) ] Loss: 0.1786 top1= 95.1705

=== Log global consensus distance @ E9B10 ===
consensus_distance=0.026



=== Log clique consensus distance @ E9B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.099


[E 9B20 |   8064/60000 ( 13%) ] Loss: 0.1801 top1= 94.8864

=== Log global consensus distance @ E9B20 ===
consensus_distance=0.025



=== Log clique consensus distance @ E9B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.095



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.6410 top1= 78.4054


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=1.6029 top1= 50.9315


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=1.8584 top1= 47.0052

Train epoch 10
[E10B0  |    384/60000 (  1%) ] Loss: 0.1254 top1= 97.4432

=== Log global consensus distance @ E10B0 ===
consensus_distance=0.025



=== Log clique consensus distance @ E10B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.093


[E10B10 |   4224/60000 (  7%) ] Loss: 0.1655 top1= 95.4545

=== Log global consensus distance @ E10B10 ===
consensus_distance=0.024



=== Log clique consensus distance @ E10B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.089


[E10B20 |   8064/60000 ( 13%) ] Loss: 0.1671 top1= 94.8864

=== Log global consensus distance @ E10B20 ===
consensus_distance=0.023



=== Log clique consensus distance @ E10B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.086



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.6077 top1= 79.0966


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=1.5725 top1= 52.2236


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=1.8239 top1= 47.8566

