
=== 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 ByzantineWorker(index=10)
=> Add worker ByzantineWorker(index=11)

=== Start adding graph ===
<codes.graph_utils.DumbbellVariant object at 0x7fb1f0d147f0>

Train epoch 1
[E 1B0  |    384/60000 (  1%) ] Loss: 2.3109 top1=  9.6875

=== Peeking data label distribution E1B0 ===
Worker 0 has targets: tensor([3, 0, 2, 2, 1], device='cuda:0')
Worker 1 has targets: tensor([2, 1, 4, 4, 0], device='cuda:0')
Worker 2 has targets: tensor([3, 1, 4, 1, 3], device='cuda:0')
Worker 3 has targets: tensor([2, 3, 0, 0, 1], device='cuda:0')
Worker 4 has targets: tensor([2, 1, 1, 4, 2], device='cuda:0')
Worker 5 has targets: tensor([6, 7, 6, 8, 6], device='cuda:0')
Worker 6 has targets: tensor([9, 9, 6, 7, 9], device='cuda:0')
Worker 7 has targets: tensor([7, 5, 7, 9, 5], device='cuda:0')
Worker 8 has targets: tensor([8, 9, 9, 5, 7], device='cuda:0')
Worker 9 has targets: tensor([8, 8, 7, 5, 9], device='cuda:0')
Worker 10 has targets: tensor([3, 0, 2, 2, 1], device='cuda:0')
Worker 11 has targets: tensor([6, 7, 6, 8, 6], device='cuda:0')


[E 1B10 |   4224/60000 (  7%) ] Loss: 1.0007 top1= 64.0625
[E 1B20 |   8064/60000 ( 13%) ] Loss: 0.2621 top1= 90.3125

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.6991 top1= 78.5857


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=9.6771 top1= 48.7079


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=7.1352 top1= 43.9704

Train epoch 2
[E 2B0  |    384/60000 (  1%) ] Loss: 0.3747 top1= 90.9375
[E 2B10 |   4224/60000 (  7%) ] Loss: 0.2740 top1= 92.1875
[E 2B20 |   8064/60000 ( 13%) ] Loss: 0.1507 top1= 94.3750

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.7409 top1= 84.2748


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=4.1828 top1= 49.7696


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=4.0654 top1= 45.4928

Train epoch 3
[E 3B0  |    384/60000 (  1%) ] Loss: 0.1467 top1= 95.0000
[E 3B10 |   4224/60000 (  7%) ] Loss: 0.1329 top1= 95.0000
[E 3B20 |   8064/60000 ( 13%) ] Loss: 0.0803 top1= 98.1250

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.6283 top1= 85.3265


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=4.9611 top1= 50.0000


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=4.2469 top1= 45.9936

Train epoch 4
[E 4B0  |    384/60000 (  1%) ] Loss: 0.0819 top1= 97.1875
[E 4B10 |   4224/60000 (  7%) ] Loss: 0.0676 top1= 97.1875
[E 4B20 |   8064/60000 ( 13%) ] Loss: 0.0491 top1= 98.4375

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.5599 top1= 86.5284


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=5.1169 top1= 50.2204


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=4.5566 top1= 46.1038

Train epoch 5
[E 5B0  |    384/60000 (  1%) ] Loss: 0.0490 top1= 98.4375
[E 5B10 |   4224/60000 (  7%) ] Loss: 0.0508 top1= 98.1250
[E 5B20 |   8064/60000 ( 13%) ] Loss: 0.0294 top1= 99.3750

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.5118 top1= 86.6987


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=5.4263 top1= 50.2404


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=5.0185 top1= 46.3542

Train epoch 6
[E 6B0  |    384/60000 (  1%) ] Loss: 0.0251 top1= 99.6875
[E 6B10 |   4224/60000 (  7%) ] Loss: 0.0280 top1= 99.3750
[E 6B20 |   8064/60000 ( 13%) ] Loss: 0.0149 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.5078 top1= 85.8373


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=5.7259 top1= 50.2804


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=5.2668 top1= 45.9535

Train epoch 7
[E 7B0  |    384/60000 (  1%) ] Loss: 0.0168 top1=100.0000
[E 7B10 |   4224/60000 (  7%) ] Loss: 0.0175 top1=100.0000
[E 7B20 |   8064/60000 ( 13%) ] Loss: 0.0108 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.4776 top1= 86.2280


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=6.1337 top1= 50.3405


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=5.2740 top1= 46.4042

Train epoch 8
[E 8B0  |    384/60000 (  1%) ] Loss: 0.0097 top1=100.0000
[E 8B10 |   4224/60000 (  7%) ] Loss: 0.0148 top1=100.0000
[E 8B20 |   8064/60000 ( 13%) ] Loss: 0.0053 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.4560 top1= 86.8389


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=6.4992 top1= 50.3205


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=5.7909 top1= 46.3742

Train epoch 9
[E 9B0  |    384/60000 (  1%) ] Loss: 0.0138 top1= 99.6875
[E 9B10 |   4224/60000 (  7%) ] Loss: 0.0154 top1= 99.6875
[E 9B20 |   8064/60000 ( 13%) ] Loss: 0.0087 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.4660 top1= 86.2480


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=6.8191 top1= 50.3105


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=5.9416 top1= 46.4744

Train epoch 10
[E10B0  |    384/60000 (  1%) ] Loss: 0.0054 top1=100.0000
[E10B10 |   4224/60000 (  7%) ] Loss: 0.0056 top1=100.0000
[E10B20 |   8064/60000 ( 13%) ] Loss: 0.0053 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.4410 top1= 86.5885


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=7.0239 top1= 50.2704


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=6.0922 top1= 46.6146

Train epoch 11
[E11B0  |    384/60000 (  1%) ] Loss: 0.0044 top1=100.0000
[E11B10 |   4224/60000 (  7%) ] Loss: 0.0087 top1=100.0000
[E11B20 |   8064/60000 ( 13%) ] Loss: 0.0042 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.4134 top1= 87.4199


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=7.1722 top1= 50.2804


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=6.4951 top1= 46.7448

Train epoch 12
[E12B0  |    384/60000 (  1%) ] Loss: 0.0029 top1=100.0000
[E12B10 |   4224/60000 (  7%) ] Loss: 0.0083 top1=100.0000
[E12B20 |   8064/60000 ( 13%) ] Loss: 0.0018 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.4127 top1= 86.8590


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=7.3105 top1= 50.3205


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=6.6597 top1= 46.7248

Train epoch 13
[E13B0  |    384/60000 (  1%) ] Loss: 0.0021 top1=100.0000
[E13B10 |   4224/60000 (  7%) ] Loss: 0.0040 top1=100.0000
[E13B20 |   8064/60000 ( 13%) ] Loss: 0.0028 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.4119 top1= 87.0292


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=7.4309 top1= 50.3606


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=7.0118 top1= 46.6146

Train epoch 14
[E14B0  |    384/60000 (  1%) ] Loss: 0.0021 top1=100.0000
[E14B10 |   4224/60000 (  7%) ] Loss: 0.0023 top1=100.0000
[E14B20 |   8064/60000 ( 13%) ] Loss: 0.0015 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.4234 top1= 86.6286


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=7.5699 top1= 50.3405


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=6.8048 top1= 46.5745

Train epoch 15
[E15B0  |    384/60000 (  1%) ] Loss: 0.0013 top1=100.0000
[E15B10 |   4224/60000 (  7%) ] Loss: 0.0014 top1=100.0000
[E15B20 |   8064/60000 ( 13%) ] Loss: 0.0014 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.4228 top1= 86.5885


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=7.6957 top1= 50.3706


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=6.8961 top1= 46.6046

Train epoch 16
[E16B0  |    384/60000 (  1%) ] Loss: 0.0012 top1=100.0000
[E16B10 |   4224/60000 (  7%) ] Loss: 0.0013 top1=100.0000
[E16B20 |   8064/60000 ( 13%) ] Loss: 0.0014 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.4170 top1= 86.5585


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=7.8130 top1= 50.3806


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=7.0675 top1= 46.6346

Train epoch 17
[E17B0  |    384/60000 (  1%) ] Loss: 0.0010 top1=100.0000
[E17B10 |   4224/60000 (  7%) ] Loss: 0.0011 top1=100.0000
[E17B20 |   8064/60000 ( 13%) ] Loss: 0.0020 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.4219 top1= 86.3982


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=7.9091 top1= 50.3706


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=7.1070 top1= 46.6046

Train epoch 18
[E18B0  |    384/60000 (  1%) ] Loss: 0.0010 top1=100.0000
[E18B10 |   4224/60000 (  7%) ] Loss: 0.0010 top1=100.0000
[E18B20 |   8064/60000 ( 13%) ] Loss: 0.0026 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.4233 top1= 86.2881


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=8.0019 top1= 50.3606


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=7.1732 top1= 46.6046

Train epoch 19
[E19B0  |    384/60000 (  1%) ] Loss: 0.0009 top1=100.0000
[E19B10 |   4224/60000 (  7%) ] Loss: 0.0010 top1=100.0000
[E19B20 |   8064/60000 ( 13%) ] Loss: 0.0018 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.4204 top1= 86.3782


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=8.0848 top1= 50.3606


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=7.2391 top1= 46.7047

Train epoch 20
[E20B0  |    384/60000 (  1%) ] Loss: 0.0007 top1=100.0000
[E20B10 |   4224/60000 (  7%) ] Loss: 0.0012 top1=100.0000
[E20B20 |   8064/60000 ( 13%) ] Loss: 0.0010 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.4147 top1= 86.4884


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=8.1637 top1= 50.3606


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=7.3225 top1= 46.8049

Train epoch 21
[E21B0  |    384/60000 (  1%) ] Loss: 0.0006 top1=100.0000
[E21B10 |   4224/60000 (  7%) ] Loss: 0.0013 top1=100.0000
[E21B20 |   8064/60000 ( 13%) ] Loss: 0.0005 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.4112 top1= 86.5485


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=8.2322 top1= 50.3606


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=7.4295 top1= 46.7548

Train epoch 22
[E22B0  |    384/60000 (  1%) ] Loss: 0.0005 top1=100.0000
[E22B10 |   4224/60000 (  7%) ] Loss: 0.0006 top1=100.0000
[E22B20 |   8064/60000 ( 13%) ] Loss: 0.0004 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.4150 top1= 86.4183


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=8.3042 top1= 50.3706


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=7.4705 top1= 46.8249

Train epoch 23
[E23B0  |    384/60000 (  1%) ] Loss: 0.0005 top1=100.0000
[E23B10 |   4224/60000 (  7%) ] Loss: 0.0006 top1=100.0000
[E23B20 |   8064/60000 ( 13%) ] Loss: 0.0004 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.4136 top1= 86.4283


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=8.3658 top1= 50.3706


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=7.5638 top1= 46.8249

Train epoch 24
[E24B0  |    384/60000 (  1%) ] Loss: 0.0004 top1=100.0000
[E24B10 |   4224/60000 (  7%) ] Loss: 0.0005 top1=100.0000
[E24B20 |   8064/60000 ( 13%) ] Loss: 0.0003 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.4128 top1= 86.4683


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=8.4261 top1= 50.3706


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=7.6418 top1= 46.8349

Train epoch 25
[E25B0  |    384/60000 (  1%) ] Loss: 0.0004 top1=100.0000
[E25B10 |   4224/60000 (  7%) ] Loss: 0.0005 top1=100.0000
[E25B20 |   8064/60000 ( 13%) ] Loss: 0.0003 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.4126 top1= 86.4784


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=8.4831 top1= 50.3706


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=7.7082 top1= 46.8349

Train epoch 26
[E26B0  |    384/60000 (  1%) ] Loss: 0.0004 top1=100.0000
[E26B10 |   4224/60000 (  7%) ] Loss: 0.0005 top1=100.0000
[E26B20 |   8064/60000 ( 13%) ] Loss: 0.0003 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.4125 top1= 86.4784


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=8.5385 top1= 50.3706


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=7.7673 top1= 46.8349

Train epoch 27
[E27B0  |    384/60000 (  1%) ] Loss: 0.0003 top1=100.0000
[E27B10 |   4224/60000 (  7%) ] Loss: 0.0004 top1=100.0000
[E27B20 |   8064/60000 ( 13%) ] Loss: 0.0003 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.4126 top1= 86.4784


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=8.5903 top1= 50.3706


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=7.8224 top1= 46.8349

Train epoch 28
[E28B0  |    384/60000 (  1%) ] Loss: 0.0003 top1=100.0000
[E28B10 |   4224/60000 (  7%) ] Loss: 0.0004 top1=100.0000
[E28B20 |   8064/60000 ( 13%) ] Loss: 0.0003 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.4125 top1= 86.4683


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=8.6388 top1= 50.3706


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=7.8739 top1= 46.8349

Train epoch 29
[E29B0  |    384/60000 (  1%) ] Loss: 0.0003 top1=100.0000
[E29B10 |   4224/60000 (  7%) ] Loss: 0.0004 top1=100.0000
[E29B20 |   8064/60000 ( 13%) ] Loss: 0.0002 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.4126 top1= 86.5084


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=8.6878 top1= 50.3706


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=7.9215 top1= 46.8249

Train epoch 30
[E30B0  |    384/60000 (  1%) ] Loss: 0.0003 top1=100.0000
[E30B10 |   4224/60000 (  7%) ] Loss: 0.0004 top1=100.0000
[E30B20 |   8064/60000 ( 13%) ] Loss: 0.0002 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.4129 top1= 86.5084


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=8.7345 top1= 50.3706


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=7.9674 top1= 46.8349

