
=== 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 0x7f69dc5c99d0>

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: 1.3866 top1= 52.5000
[E 1B20 |   8064/60000 ( 13%) ] Loss: 0.8038 top1= 74.6875

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.3670 top1= 75.3305


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=3.0336 top1= 48.2372


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=3.0221 top1= 41.4563

Train epoch 2
[E 2B0  |    384/60000 (  1%) ] Loss: 0.5107 top1= 86.2500
[E 2B10 |   4224/60000 (  7%) ] Loss: 0.3802 top1= 89.0625
[E 2B20 |   8064/60000 ( 13%) ] Loss: 0.2420 top1= 92.8125

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.0308 top1= 81.0697


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=3.8520 top1= 49.4191


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=3.5899 top1= 44.4411

Train epoch 3
[E 3B0  |    384/60000 (  1%) ] Loss: 0.2610 top1= 93.1250
[E 3B10 |   4224/60000 (  7%) ] Loss: 0.3103 top1= 89.6875
[E 3B20 |   8064/60000 ( 13%) ] Loss: 0.1928 top1= 92.8125

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.9086 top1= 83.3333


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=4.1186 top1= 49.6695


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=3.8744 top1= 44.7115

Train epoch 4
[E 4B0  |    384/60000 (  1%) ] Loss: 0.2288 top1= 92.8125
[E 4B10 |   4224/60000 (  7%) ] Loss: 0.2213 top1= 91.2500
[E 4B20 |   8064/60000 ( 13%) ] Loss: 0.1703 top1= 94.6875

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.8544 top1= 83.9343


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=4.3177 top1= 49.8197


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=4.1453 top1= 45.3826

Train epoch 5
[E 5B0  |    384/60000 (  1%) ] Loss: 0.1772 top1= 95.9375
[E 5B10 |   4224/60000 (  7%) ] Loss: 0.1726 top1= 93.4375
[E 5B20 |   8064/60000 ( 13%) ] Loss: 0.1438 top1= 95.3125

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.8080 top1= 84.2348


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=4.3671 top1= 49.9599


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=4.2092 top1= 45.5729

Train epoch 6
[E 6B0  |    384/60000 (  1%) ] Loss: 0.1426 top1= 95.6250
[E 6B10 |   4224/60000 (  7%) ] Loss: 0.1512 top1= 94.6875
[E 6B20 |   8064/60000 ( 13%) ] Loss: 0.1116 top1= 95.3125

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.7682 top1= 84.9960


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=4.4921 top1= 50.1302


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=4.3127 top1= 45.6731

Train epoch 7
[E 7B0  |    384/60000 (  1%) ] Loss: 0.1369 top1= 97.1875
[E 7B10 |   4224/60000 (  7%) ] Loss: 0.1393 top1= 95.3125
[E 7B20 |   8064/60000 ( 13%) ] Loss: 0.1175 top1= 95.3125

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.7383 top1= 84.7857


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=4.6592 top1= 50.1202


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=4.5130 top1= 45.7532

Train epoch 8
[E 8B0  |    384/60000 (  1%) ] Loss: 0.1225 top1= 97.1875
[E 8B10 |   4224/60000 (  7%) ] Loss: 0.1182 top1= 95.6250
[E 8B20 |   8064/60000 ( 13%) ] Loss: 0.1081 top1= 96.5625

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.7333 top1= 85.0060


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=4.6521 top1= 50.1502


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=4.3864 top1= 45.9135

Train epoch 9
[E 9B0  |    384/60000 (  1%) ] Loss: 0.1205 top1= 96.5625
[E 9B10 |   4224/60000 (  7%) ] Loss: 0.1236 top1= 95.0000
[E 9B20 |   8064/60000 ( 13%) ] Loss: 0.0736 top1= 99.0625

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.7096 top1= 85.8373


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=4.6487 top1= 50.1502


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=4.4066 top1= 46.0938

Train epoch 10
[E10B0  |    384/60000 (  1%) ] Loss: 0.1060 top1= 95.9375
[E10B10 |   4224/60000 (  7%) ] Loss: 0.0989 top1= 95.9375
[E10B20 |   8064/60000 ( 13%) ] Loss: 0.0745 top1= 98.1250

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.7062 top1= 85.2464


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=4.6560 top1= 50.2905


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=4.5093 top1= 46.1939

Train epoch 11
[E11B0  |    384/60000 (  1%) ] Loss: 0.0930 top1= 97.5000
[E11B10 |   4224/60000 (  7%) ] Loss: 0.0870 top1= 96.5625
[E11B20 |   8064/60000 ( 13%) ] Loss: 0.0816 top1= 98.1250

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.6887 top1= 85.8373


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=4.6875 top1= 50.3506


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=4.5714 top1= 46.2240

Train epoch 12
[E12B0  |    384/60000 (  1%) ] Loss: 0.0871 top1= 96.8750
[E12B10 |   4224/60000 (  7%) ] Loss: 0.0781 top1= 98.1250
[E12B20 |   8064/60000 ( 13%) ] Loss: 0.0694 top1= 98.4375

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.6673 top1= 86.7989


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=4.6983 top1= 50.3105


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=4.5604 top1= 46.4243

Train epoch 13
[E13B0  |    384/60000 (  1%) ] Loss: 0.0664 top1= 97.8125
[E13B10 |   4224/60000 (  7%) ] Loss: 0.0831 top1= 96.5625
[E13B20 |   8064/60000 ( 13%) ] Loss: 0.0701 top1= 97.8125

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.6607 top1= 86.2480


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=4.8672 top1= 50.3806


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=4.7568 top1= 46.3241

Train epoch 14
[E14B0  |    384/60000 (  1%) ] Loss: 0.0644 top1= 97.8125
[E14B10 |   4224/60000 (  7%) ] Loss: 0.0694 top1= 97.1875
[E14B20 |   8064/60000 ( 13%) ] Loss: 0.0560 top1= 98.1250

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.6375 top1= 87.2596


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=4.9258 top1= 50.3706


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=4.6959 top1= 46.4243

Train epoch 15
[E15B0  |    384/60000 (  1%) ] Loss: 0.0640 top1= 98.1250
[E15B10 |   4224/60000 (  7%) ] Loss: 0.0688 top1= 97.8125
[E15B20 |   8064/60000 ( 13%) ] Loss: 0.0450 top1= 98.7500

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.6474 top1= 86.8590


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=4.9343 top1= 50.3706


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=4.6565 top1= 46.5745

Train epoch 16
[E16B0  |    384/60000 (  1%) ] Loss: 0.0715 top1= 97.5000
[E16B10 |   4224/60000 (  7%) ] Loss: 0.0621 top1= 98.4375
[E16B20 |   8064/60000 ( 13%) ] Loss: 0.0337 top1= 99.6875

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.6366 top1= 86.8089


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=4.9534 top1= 50.4708


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=4.7434 top1= 46.5545

Train epoch 17
[E17B0  |    384/60000 (  1%) ] Loss: 0.0520 top1= 98.4375
[E17B10 |   4224/60000 (  7%) ] Loss: 0.0580 top1= 98.1250
[E17B20 |   8064/60000 ( 13%) ] Loss: 0.0368 top1= 99.0625

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.6242 top1= 87.3397


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=4.8422 top1= 50.4107


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=4.7567 top1= 46.6546

Train epoch 18
[E18B0  |    384/60000 (  1%) ] Loss: 0.0475 top1= 98.4375
[E18B10 |   4224/60000 (  7%) ] Loss: 0.0482 top1= 98.4375
[E18B20 |   8064/60000 ( 13%) ] Loss: 0.0360 top1= 99.0625

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.6270 top1= 87.1294


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=4.9122 top1= 50.5008


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=4.8278 top1= 46.7348

Train epoch 19
[E19B0  |    384/60000 (  1%) ] Loss: 0.0507 top1= 98.1250
[E19B10 |   4224/60000 (  7%) ] Loss: 0.0417 top1= 99.0625
[E19B20 |   8064/60000 ( 13%) ] Loss: 0.0260 top1= 99.6875

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.6032 top1= 87.5200


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=5.0360 top1= 50.4507


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=5.0160 top1= 46.8450

Train epoch 20
[E20B0  |    384/60000 (  1%) ] Loss: 0.0365 top1= 98.7500
[E20B10 |   4224/60000 (  7%) ] Loss: 0.0425 top1= 99.3750
[E20B20 |   8064/60000 ( 13%) ] Loss: 0.0245 top1= 99.6875

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.5923 top1= 88.0208


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=5.1006 top1= 50.4507


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=5.0508 top1= 46.7949

Train epoch 21
[E21B0  |    384/60000 (  1%) ] Loss: 0.0474 top1= 98.4375
[E21B10 |   4224/60000 (  7%) ] Loss: 0.0413 top1= 98.7500
[E21B20 |   8064/60000 ( 13%) ] Loss: 0.0270 top1= 99.0625

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.5915 top1= 88.0809


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=5.1657 top1= 50.5108


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=4.9831 top1= 46.8750

Train epoch 22
[E22B0  |    384/60000 (  1%) ] Loss: 0.0342 top1= 98.7500
[E22B10 |   4224/60000 (  7%) ] Loss: 0.0382 top1= 98.7500
[E22B20 |   8064/60000 ( 13%) ] Loss: 0.0203 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.5860 top1= 87.9307


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=5.2076 top1= 50.5208


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=4.9631 top1= 46.9952

Train epoch 23
[E23B0  |    384/60000 (  1%) ] Loss: 0.0423 top1= 99.0625
[E23B10 |   4224/60000 (  7%) ] Loss: 0.0401 top1= 98.4375
[E23B20 |   8064/60000 ( 13%) ] Loss: 0.0192 top1= 99.6875

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.5859 top1= 87.9107


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=5.1090 top1= 50.5409


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=4.9665 top1= 47.0052

Train epoch 24
[E24B0  |    384/60000 (  1%) ] Loss: 0.0376 top1= 99.3750
[E24B10 |   4224/60000 (  7%) ] Loss: 0.0307 top1= 99.3750
[E24B20 |   8064/60000 ( 13%) ] Loss: 0.0214 top1= 99.3750

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.5838 top1= 87.6502


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=5.0687 top1= 50.5809


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=5.0916 top1= 47.0954

Train epoch 25
[E25B0  |    384/60000 (  1%) ] Loss: 0.0312 top1= 99.6875
[E25B10 |   4224/60000 (  7%) ] Loss: 0.0329 top1= 99.0625
[E25B20 |   8064/60000 ( 13%) ] Loss: 0.0159 top1= 99.6875

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.5624 top1= 88.1611


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=5.2284 top1= 50.5809


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=5.2621 top1= 47.0052

Train epoch 26
[E26B0  |    384/60000 (  1%) ] Loss: 0.0194 top1= 99.6875
[E26B10 |   4224/60000 (  7%) ] Loss: 0.0194 top1=100.0000
[E26B20 |   8064/60000 ( 13%) ] Loss: 0.0148 top1= 99.6875

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.5634 top1= 87.6703


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=5.3054 top1= 50.5609


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=5.2996 top1= 47.0052

Train epoch 27
[E27B0  |    384/60000 (  1%) ] Loss: 0.0302 top1= 99.3750
[E27B10 |   4224/60000 (  7%) ] Loss: 0.0297 top1= 99.0625
[E27B20 |   8064/60000 ( 13%) ] Loss: 0.0122 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.5491 top1= 88.5517


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=5.2995 top1= 50.6110


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=5.2528 top1= 47.1454

Train epoch 28
[E28B0  |    384/60000 (  1%) ] Loss: 0.0239 top1= 99.3750
[E28B10 |   4224/60000 (  7%) ] Loss: 0.0239 top1= 99.6875
[E28B20 |   8064/60000 ( 13%) ] Loss: 0.0113 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.5475 top1= 87.9307


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=5.2442 top1= 50.6110


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=5.1972 top1= 46.9952

Train epoch 29
[E29B0  |    384/60000 (  1%) ] Loss: 0.0253 top1= 99.0625
[E29B10 |   4224/60000 (  7%) ] Loss: 0.0216 top1= 99.3750
[E29B20 |   8064/60000 ( 13%) ] Loss: 0.0138 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.5552 top1= 88.3814


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=5.3255 top1= 50.5709


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=5.1842 top1= 47.1554

Train epoch 30
[E30B0  |    384/60000 (  1%) ] Loss: 0.0212 top1= 99.6875
[E30B10 |   4224/60000 (  7%) ] Loss: 0.0197 top1= 99.6875
[E30B20 |   8064/60000 ( 13%) ] Loss: 0.0121 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.5399 top1= 88.9123


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=5.2078 top1= 50.6110


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=5.2500 top1= 47.1655

