
=== 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


[E 1B10 |   4224/60000 (  7%) ] Loss: 1.9845 top1= 43.1818

=== Log global consensus distance @ E1B10 ===
consensus_distance=0.013



=== Log clique consensus distance @ E1B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.035


[E 1B20 |   8064/60000 ( 13%) ] Loss: 1.4822 top1= 57.1023

=== Log global consensus distance @ E1B20 ===
consensus_distance=0.064



=== Log clique consensus distance @ E1B20 ===
clique1_consensus_distance=0.001
clique2_consensus_distance=0.201



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=2.0886 top1= 34.6855


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.9931 top1= 38.8722


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.5683 top1= 32.4419

Train epoch 2
[E 2B0  |    384/60000 (  1%) ] Loss: 0.7850 top1= 84.6591

=== Log global consensus distance @ E2B0 ===
consensus_distance=0.133



=== Log clique consensus distance @ E2B0 ===
clique1_consensus_distance=0.004
clique2_consensus_distance=0.460


[E 2B10 |   4224/60000 (  7%) ] Loss: 0.4995 top1= 87.7841

=== Log global consensus distance @ E2B10 ===
consensus_distance=0.186



=== Log clique consensus distance @ E2B10 ===
clique1_consensus_distance=0.001
clique2_consensus_distance=0.677


[E 2B20 |   8064/60000 ( 13%) ] Loss: 0.4213 top1= 91.4773

=== Log global consensus distance @ E2B20 ===
consensus_distance=0.220



=== Log clique consensus distance @ E2B20 ===
clique1_consensus_distance=0.001
clique2_consensus_distance=0.815



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.7586 top1= 46.6046


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=3.9420 top1= 39.3129


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=3.5901 top1= 34.8257

Train epoch 3
[E 3B0  |    384/60000 (  1%) ] Loss: 0.2904 top1= 93.1818

=== Log global consensus distance @ E3B0 ===
consensus_distance=0.248



=== Log clique consensus distance @ E3B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.924


[E 3B10 |   4224/60000 (  7%) ] Loss: 0.2821 top1= 94.6023

=== Log global consensus distance @ E3B10 ===
consensus_distance=0.269



=== Log clique consensus distance @ E3B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=1.006


[E 3B20 |   8064/60000 ( 13%) ] Loss: 0.2852 top1= 93.1818

=== Log global consensus distance @ E3B20 ===
consensus_distance=0.285



=== Log clique consensus distance @ E3B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=1.065



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.5960 top1= 42.3377


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=3.6587 top1= 39.9339


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=3.9249 top1= 37.9207

Train epoch 4
[E 4B0  |    384/60000 (  1%) ] Loss: 0.1829 top1= 96.0227

=== Log global consensus distance @ E4B0 ===
consensus_distance=0.296



=== Log clique consensus distance @ E4B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=1.113


[E 4B10 |   4224/60000 (  7%) ] Loss: 0.2154 top1= 94.3182

=== Log global consensus distance @ E4B10 ===
consensus_distance=0.304



=== Log clique consensus distance @ E4B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=1.145


[E 4B20 |   8064/60000 ( 13%) ] Loss: 0.2307 top1= 93.4659

=== Log global consensus distance @ E4B20 ===
consensus_distance=0.309



=== Log clique consensus distance @ E4B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=1.167



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.5434 top1= 38.6118


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=3.4764 top1= 40.2644


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=4.0861 top1= 41.0156

Train epoch 5
[E 5B0  |    384/60000 (  1%) ] Loss: 0.1487 top1= 96.3068

=== Log global consensus distance @ E5B0 ===
consensus_distance=0.314



=== Log clique consensus distance @ E5B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=1.187


[E 5B10 |   4224/60000 (  7%) ] Loss: 0.1791 top1= 94.8864

=== Log global consensus distance @ E5B10 ===
consensus_distance=0.315



=== Log clique consensus distance @ E5B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=1.197


[E 5B20 |   8064/60000 ( 13%) ] Loss: 0.1924 top1= 94.8864

=== Log global consensus distance @ E5B20 ===
consensus_distance=0.316



=== Log clique consensus distance @ E5B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=1.201



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.5350 top1= 36.5385


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=3.3622 top1= 41.3462


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=4.1667 top1= 42.5581

Train epoch 6
[E 6B0  |    384/60000 (  1%) ] Loss: 0.1325 top1= 96.3068

=== Log global consensus distance @ E6B0 ===
consensus_distance=0.316



=== Log clique consensus distance @ E6B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=1.206


[E 6B10 |   4224/60000 (  7%) ] Loss: 0.1558 top1= 96.0227

=== Log global consensus distance @ E6B10 ===
consensus_distance=0.315



=== Log clique consensus distance @ E6B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=1.206


[E 6B20 |   8064/60000 ( 13%) ] Loss: 0.1674 top1= 95.4545

=== Log global consensus distance @ E6B20 ===
consensus_distance=0.314



=== Log clique consensus distance @ E6B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=1.201



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.5642 top1= 35.2965


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=3.2546 top1= 43.5497


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=4.2400 top1= 43.2091

Train epoch 7
[E 7B0  |    384/60000 (  1%) ] Loss: 0.1196 top1= 96.5909

=== Log global consensus distance @ E7B0 ===
consensus_distance=0.313



=== Log clique consensus distance @ E7B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=1.201


[E 7B10 |   4224/60000 (  7%) ] Loss: 0.1393 top1= 96.8750

=== Log global consensus distance @ E7B10 ===
consensus_distance=0.311



=== Log clique consensus distance @ E7B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=1.197


[E 7B20 |   8064/60000 ( 13%) ] Loss: 0.1503 top1= 95.7386

=== Log global consensus distance @ E7B20 ===
consensus_distance=0.309



=== Log clique consensus distance @ E7B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=1.192



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.6150 top1= 36.7288


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=3.1622 top1= 45.2023


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=4.3327 top1= 43.6298

Train epoch 8
[E 8B0  |    384/60000 (  1%) ] Loss: 0.1090 top1= 97.1591

=== Log global consensus distance @ E8B0 ===
consensus_distance=0.309



=== Log clique consensus distance @ E8B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=1.194


[E 8B10 |   4224/60000 (  7%) ] Loss: 0.1269 top1= 97.1591

=== Log global consensus distance @ E8B10 ===
consensus_distance=0.308



=== Log clique consensus distance @ E8B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=1.194


[E 8B20 |   8064/60000 ( 13%) ] Loss: 0.1382 top1= 96.0227

=== Log global consensus distance @ E8B20 ===
consensus_distance=0.308



=== Log clique consensus distance @ E8B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=1.196



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.6947 top1= 39.7236


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=3.0808 top1= 46.3041


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=4.4804 top1= 43.9403

Train epoch 9
[E 9B0  |    384/60000 (  1%) ] Loss: 0.1010 top1= 97.4432

=== Log global consensus distance @ E9B0 ===
consensus_distance=0.310



=== Log clique consensus distance @ E9B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=1.208


[E 9B10 |   4224/60000 (  7%) ] Loss: 0.1166 top1= 97.1591

=== Log global consensus distance @ E9B10 ===
consensus_distance=0.312



=== Log clique consensus distance @ E9B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=1.221


[E 9B20 |   8064/60000 ( 13%) ] Loss: 0.1286 top1= 96.3068

=== Log global consensus distance @ E9B20 ===
consensus_distance=0.315



=== Log clique consensus distance @ E9B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=1.238



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.8040 top1= 42.2476


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=3.0115 top1= 46.9251


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=4.6870 top1= 44.1406

Train epoch 10
[E10B0  |    384/60000 (  1%) ] Loss: 0.0958 top1= 97.4432

=== Log global consensus distance @ E10B0 ===
consensus_distance=0.319



=== Log clique consensus distance @ E10B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=1.262


[E10B10 |   4224/60000 (  7%) ] Loss: 0.1077 top1= 97.1591

=== Log global consensus distance @ E10B10 ===
consensus_distance=0.322



=== Log clique consensus distance @ E10B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=1.278


[E10B20 |   8064/60000 ( 13%) ] Loss: 0.1148 top1= 96.8750

=== Log global consensus distance @ E10B20 ===
consensus_distance=0.326



=== Log clique consensus distance @ E10B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=1.293



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.9621 top1= 43.1390


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.9408 top1= 47.5461


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=4.9591 top1= 44.3910

Train epoch 11
[E11B0  |    384/60000 (  1%) ] Loss: 0.0870 top1= 97.7273

=== Log global consensus distance @ E11B0 ===
consensus_distance=0.330



=== Log clique consensus distance @ E11B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=1.312


[E11B10 |   4224/60000 (  7%) ] Loss: 0.0983 top1= 97.4432

=== Log global consensus distance @ E11B10 ===
consensus_distance=0.333



=== Log clique consensus distance @ E11B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=1.323


[E11B20 |   8064/60000 ( 13%) ] Loss: 0.1032 top1= 97.4432

=== Log global consensus distance @ E11B20 ===
consensus_distance=0.336



=== Log clique consensus distance @ E11B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=1.335



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=2.1666 top1= 43.9704


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.8614 top1= 47.9167


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=5.2717 top1= 44.6014

Train epoch 12
[E12B0  |    384/60000 (  1%) ] Loss: 0.0785 top1= 98.5795

=== Log global consensus distance @ E12B0 ===
consensus_distance=0.340



=== Log clique consensus distance @ E12B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=1.351


[E12B10 |   4224/60000 (  7%) ] Loss: 0.0899 top1= 98.0114

=== Log global consensus distance @ E12B10 ===
consensus_distance=0.342



=== Log clique consensus distance @ E12B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=1.360


[E12B20 |   8064/60000 ( 13%) ] Loss: 0.0940 top1= 97.4432

=== Log global consensus distance @ E12B20 ===
consensus_distance=0.345



=== Log clique consensus distance @ E12B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=1.371



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=2.3863 top1= 44.5413


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.7724 top1= 48.0769


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=5.5822 top1= 44.7817

Train epoch 13
[E13B0  |    384/60000 (  1%) ] Loss: 0.0711 top1= 99.1477

=== Log global consensus distance @ E13B0 ===
consensus_distance=0.349



=== Log clique consensus distance @ E13B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=1.387


[E13B10 |   4224/60000 (  7%) ] Loss: 0.0817 top1= 98.2955

=== Log global consensus distance @ E13B10 ===
consensus_distance=0.351



=== Log clique consensus distance @ E13B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=1.395


[E13B20 |   8064/60000 ( 13%) ] Loss: 0.0871 top1= 97.4432

=== Log global consensus distance @ E13B20 ===
consensus_distance=0.354



=== Log clique consensus distance @ E13B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=1.405



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=2.6128 top1= 45.1723


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.6911 top1= 48.1671


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=5.8884 top1= 44.9720

Train epoch 14
[E14B0  |    384/60000 (  1%) ] Loss: 0.0655 top1= 99.1477

=== Log global consensus distance @ E14B0 ===
consensus_distance=0.357



=== Log clique consensus distance @ E14B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=1.421


[E14B10 |   4224/60000 (  7%) ] Loss: 0.0747 top1= 98.2955

=== Log global consensus distance @ E14B10 ===
consensus_distance=0.359



=== Log clique consensus distance @ E14B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=1.429


[E14B20 |   8064/60000 ( 13%) ] Loss: 0.0807 top1= 97.7273

=== Log global consensus distance @ E14B20 ===
consensus_distance=0.362



=== Log clique consensus distance @ E14B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=1.440



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=2.8367 top1= 45.6030


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.6171 top1= 48.2572


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=6.1877 top1= 45.0621

Train epoch 15
[E15B0  |    384/60000 (  1%) ] Loss: 0.0606 top1= 99.1477

=== Log global consensus distance @ E15B0 ===
consensus_distance=0.366



=== Log clique consensus distance @ E15B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=1.457


[E15B10 |   4224/60000 (  7%) ] Loss: 0.0681 top1= 98.8636

=== Log global consensus distance @ E15B10 ===
consensus_distance=0.369



=== Log clique consensus distance @ E15B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=1.465


[E15B20 |   8064/60000 ( 13%) ] Loss: 0.0755 top1= 98.0114

=== Log global consensus distance @ E15B20 ===
consensus_distance=0.372



=== Log clique consensus distance @ E15B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=1.477



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=3.0671 top1= 46.0337


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.5485 top1= 48.5978


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=6.4888 top1= 45.1723

