
=== 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 0x7f79b36ad7f0>

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: 1.0133 top1= 65.0000
[E 1B20 |   8064/60000 ( 13%) ] Loss: 0.2612 top1= 90.9375

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.6222 top1= 79.1366


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=5.7354 top1= 48.9083


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=4.8477 top1= 43.6298

Train epoch 2
[E 2B0  |    384/60000 (  1%) ] Loss: 0.3669 top1= 90.3125
[E 2B10 |   4224/60000 (  7%) ] Loss: 0.3255 top1= 89.6875
[E 2B20 |   8064/60000 ( 13%) ] Loss: 0.1659 top1= 94.6875

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.4386 top1= 87.6402


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.3452 top1= 51.9531


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.2734 top1= 48.0669

Train epoch 3
[E 3B0  |    384/60000 (  1%) ] Loss: 0.1426 top1= 96.5625
[E 3B10 |   4224/60000 (  7%) ] Loss: 0.1287 top1= 95.6250
[E 3B20 |   8064/60000 ( 13%) ] Loss: 0.1044 top1= 96.2500

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.3644 top1= 88.7720


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.1672 top1= 55.0581


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=1.8322 top1= 52.1134

Train epoch 4
[E 4B0  |    384/60000 (  1%) ] Loss: 0.0948 top1= 96.8750
[E 4B10 |   4224/60000 (  7%) ] Loss: 0.0837 top1= 96.8750
[E 4B20 |   8064/60000 ( 13%) ] Loss: 0.0618 top1= 98.7500

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.3308 top1= 89.2428


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.2839 top1= 55.4888


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=1.8372 top1= 54.0064

Train epoch 5
[E 5B0  |    384/60000 (  1%) ] Loss: 0.0711 top1= 97.1875
[E 5B10 |   4224/60000 (  7%) ] Loss: 0.0607 top1= 98.1250
[E 5B20 |   8064/60000 ( 13%) ] Loss: 0.0445 top1= 99.3750

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.3100 top1= 89.9639


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.3067 top1= 56.5104


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=1.8066 top1= 55.5288

Train epoch 6
[E 6B0  |    384/60000 (  1%) ] Loss: 0.0530 top1= 98.1250
[E 6B10 |   4224/60000 (  7%) ] Loss: 0.0617 top1= 99.0625
[E 6B20 |   8064/60000 ( 13%) ] Loss: 0.0304 top1= 99.3750

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2915 top1= 90.5148


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.2070 top1= 57.7524


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=1.8863 top1= 56.0697

Train epoch 7
[E 7B0  |    384/60000 (  1%) ] Loss: 0.0352 top1= 99.3750
[E 7B10 |   4224/60000 (  7%) ] Loss: 0.0325 top1= 99.3750
[E 7B20 |   8064/60000 ( 13%) ] Loss: 0.0255 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2876 top1= 90.8754


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.1354 top1= 60.0260


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=1.9327 top1= 57.5521

Train epoch 8
[E 8B0  |    384/60000 (  1%) ] Loss: 0.0312 top1= 99.3750
[E 8B10 |   4224/60000 (  7%) ] Loss: 0.0754 top1= 97.8125
[E 8B20 |   8064/60000 ( 13%) ] Loss: 0.0627 top1= 98.1250

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2846 top1= 91.0056


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=1.7667 top1= 62.9107


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=1.7865 top1= 59.2748

Train epoch 9
[E 9B0  |    384/60000 (  1%) ] Loss: 0.0189 top1= 99.3750
[E 9B10 |   4224/60000 (  7%) ] Loss: 0.0163 top1= 99.6875
[E 9B20 |   8064/60000 ( 13%) ] Loss: 0.0182 top1= 99.3750

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.3038 top1= 90.4347


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=1.5441 top1= 65.3646


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=1.9840 top1= 57.7925

Train epoch 10
[E10B0  |    384/60000 (  1%) ] Loss: 0.0158 top1=100.0000
[E10B10 |   4224/60000 (  7%) ] Loss: 0.0309 top1= 99.0625
[E10B20 |   8064/60000 ( 13%) ] Loss: 0.0280 top1= 99.3750

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2802 top1= 91.2560


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=1.6097 top1= 65.2043


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=1.4516 top1= 64.7736

Train epoch 11
[E11B0  |    384/60000 (  1%) ] Loss: 0.0141 top1=100.0000
[E11B10 |   4224/60000 (  7%) ] Loss: 0.0204 top1= 99.3750
[E11B20 |   8064/60000 ( 13%) ] Loss: 0.0481 top1= 98.4375

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.3003 top1= 90.5649


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=1.3299 top1= 68.6799


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=1.4452 top1= 63.3614

Train epoch 12
[E12B0  |    384/60000 (  1%) ] Loss: 0.0212 top1= 99.0625
[E12B10 |   4224/60000 (  7%) ] Loss: 0.0292 top1= 98.4375
[E12B20 |   8064/60000 ( 13%) ] Loss: 0.0062 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2746 top1= 91.6967


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=1.3012 top1= 69.5613


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=1.0910 top1= 71.3041

Train epoch 13
[E13B0  |    384/60000 (  1%) ] Loss: 0.0052 top1=100.0000
[E13B10 |   4224/60000 (  7%) ] Loss: 0.0054 top1=100.0000
[E13B20 |   8064/60000 ( 13%) ] Loss: 0.0039 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2686 top1= 92.0473


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=1.2257 top1= 70.9836


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.9747 top1= 75.1002

Train epoch 14
[E14B0  |    384/60000 (  1%) ] Loss: 0.0036 top1=100.0000
[E14B10 |   4224/60000 (  7%) ] Loss: 0.0040 top1=100.0000
[E14B20 |   8064/60000 ( 13%) ] Loss: 0.0025 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2641 top1= 92.2376


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=1.1627 top1= 72.5260


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.9311 top1= 76.1619

Train epoch 15
[E15B0  |    384/60000 (  1%) ] Loss: 0.0032 top1=100.0000
[E15B10 |   4224/60000 (  7%) ] Loss: 0.0039 top1=100.0000
[E15B20 |   8064/60000 ( 13%) ] Loss: 0.0026 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2653 top1= 92.2977


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=1.1130 top1= 73.9083


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.9469 top1= 76.3922

Train epoch 16
[E16B0  |    384/60000 (  1%) ] Loss: 0.0030 top1=100.0000
[E16B10 |   4224/60000 (  7%) ] Loss: 0.0025 top1=100.0000
[E16B20 |   8064/60000 ( 13%) ] Loss: 0.0020 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2680 top1= 92.4379


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=1.0401 top1= 75.4006


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.9532 top1= 76.7228

Train epoch 17
[E17B0  |    384/60000 (  1%) ] Loss: 0.0027 top1=100.0000
[E17B10 |   4224/60000 (  7%) ] Loss: 0.0019 top1=100.0000
[E17B20 |   8064/60000 ( 13%) ] Loss: 0.0019 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2722 top1= 92.3478


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=1.0148 top1= 76.2620


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.8064 top1= 79.8978

Train epoch 18
[E18B0  |    384/60000 (  1%) ] Loss: 0.0022 top1=100.0000
[E18B10 |   4224/60000 (  7%) ] Loss: 0.0016 top1=100.0000
[E18B20 |   8064/60000 ( 13%) ] Loss: 0.0015 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2740 top1= 92.3277


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.9861 top1= 76.8630


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.7335 top1= 81.8309

Train epoch 19
[E19B0  |    384/60000 (  1%) ] Loss: 0.0020 top1=100.0000
[E19B10 |   4224/60000 (  7%) ] Loss: 0.0015 top1=100.0000
[E19B20 |   8064/60000 ( 13%) ] Loss: 0.0013 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2742 top1= 92.4179


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.9419 top1= 77.7744


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.7166 top1= 82.4018

Train epoch 20
[E20B0  |    384/60000 (  1%) ] Loss: 0.0018 top1=100.0000
[E20B10 |   4224/60000 (  7%) ] Loss: 0.0013 top1=100.0000
[E20B20 |   8064/60000 ( 13%) ] Loss: 0.0012 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2742 top1= 92.5280


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.8966 top1= 78.8361


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.7173 top1= 82.5721

Train epoch 21
[E21B0  |    384/60000 (  1%) ] Loss: 0.0016 top1=100.0000
[E21B10 |   4224/60000 (  7%) ] Loss: 0.0012 top1=100.0000
[E21B20 |   8064/60000 ( 13%) ] Loss: 0.0012 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2751 top1= 92.6382


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.8655 top1= 79.7576


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.7083 top1= 82.8626

Train epoch 22
[E22B0  |    384/60000 (  1%) ] Loss: 0.0014 top1=100.0000
[E22B10 |   4224/60000 (  7%) ] Loss: 0.0011 top1=100.0000
[E22B20 |   8064/60000 ( 13%) ] Loss: 0.0011 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2761 top1= 92.6783


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.8408 top1= 80.4487


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.6975 top1= 83.3433

Train epoch 23
[E23B0  |    384/60000 (  1%) ] Loss: 0.0013 top1=100.0000
[E23B10 |   4224/60000 (  7%) ] Loss: 0.0011 top1=100.0000
[E23B20 |   8064/60000 ( 13%) ] Loss: 0.0010 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2769 top1= 92.7083


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.8180 top1= 80.9295


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.6900 top1= 83.5236

Train epoch 24
[E24B0  |    384/60000 (  1%) ] Loss: 0.0012 top1=100.0000
[E24B10 |   4224/60000 (  7%) ] Loss: 0.0010 top1=100.0000
[E24B20 |   8064/60000 ( 13%) ] Loss: 0.0009 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2778 top1= 92.7083


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.7965 top1= 81.4503


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.6843 top1= 83.7640

Train epoch 25
[E25B0  |    384/60000 (  1%) ] Loss: 0.0011 top1=100.0000
[E25B10 |   4224/60000 (  7%) ] Loss: 0.0009 top1=100.0000
[E25B20 |   8064/60000 ( 13%) ] Loss: 0.0009 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2786 top1= 92.7985


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.7777 top1= 81.8710


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.6769 top1= 84.0745

Train epoch 26
[E26B0  |    384/60000 (  1%) ] Loss: 0.0010 top1=100.0000
[E26B10 |   4224/60000 (  7%) ] Loss: 0.0009 top1=100.0000
[E26B20 |   8064/60000 ( 13%) ] Loss: 0.0008 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2795 top1= 92.8085


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.7599 top1= 82.3017


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.6695 top1= 84.2849

Train epoch 27
[E27B0  |    384/60000 (  1%) ] Loss: 0.0010 top1=100.0000
[E27B10 |   4224/60000 (  7%) ] Loss: 0.0008 top1=100.0000
[E27B20 |   8064/60000 ( 13%) ] Loss: 0.0008 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2803 top1= 92.8486


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.7430 top1= 82.7424


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.6628 top1= 84.5252

Train epoch 28
[E28B0  |    384/60000 (  1%) ] Loss: 0.0009 top1=100.0000
[E28B10 |   4224/60000 (  7%) ] Loss: 0.0008 top1=100.0000
[E28B20 |   8064/60000 ( 13%) ] Loss: 0.0008 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2812 top1= 92.8786


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.7278 top1= 83.2131


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.6560 top1= 84.6755

Train epoch 29
[E29B0  |    384/60000 (  1%) ] Loss: 0.0009 top1=100.0000
[E29B10 |   4224/60000 (  7%) ] Loss: 0.0007 top1=100.0000
[E29B20 |   8064/60000 ( 13%) ] Loss: 0.0007 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2820 top1= 92.8686


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.7135 top1= 83.6338


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.6495 top1= 84.8257

Train epoch 30
[E30B0  |    384/60000 (  1%) ] Loss: 0.0008 top1=100.0000
[E30B10 |   4224/60000 (  7%) ] Loss: 0.0007 top1=100.0000
[E30B20 |   8064/60000 ( 13%) ] Loss: 0.0007 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2828 top1= 92.8686


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.6995 top1= 84.1146


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.6435 top1= 84.9960

