
=== 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 SGDMWorker(index=11, momentum=0.9)
=> Add worker SGDMWorker(index=12, momentum=0.9)
=> Add worker SGDMWorker(index=13, momentum=0.9)
=> Add worker SGDMWorker(index=14, momentum=0.9)
=> Add worker SGDMWorker(index=15, momentum=0.9)
=> Add worker SGDMWorker(index=16, momentum=0.9)
=> Add worker SGDMWorker(index=17, momentum=0.9)
=> Add worker SGDMWorker(index=18, momentum=0.9)
=> Add worker SGDMWorker(index=19, momentum=0.9)
=> Add worker ByzantineWorker(index=20)
=> Add worker ByzantineWorker(index=21)

=== Start adding graph ===
<codes.graph_utils.DumbbellVariant object at 0x7f7375f562e0>

Train epoch 1
[E 1B0  |    704/60000 (  1%) ] Loss: 2.3080 top1=  8.4375

=== Peeking data label distribution E1B0 ===
Worker 0 has targets: tensor([4, 0, 4, 4, 4], device='cuda:0')
Worker 1 has targets: tensor([2, 6, 1, 4, 8], device='cuda:0')
Worker 2 has targets: tensor([3, 0, 3, 2, 7], device='cuda:0')
Worker 3 has targets: tensor([1, 4, 8, 2, 8], device='cuda:0')
Worker 4 has targets: tensor([9, 5, 0, 1, 3], device='cuda:0')
Worker 5 has targets: tensor([5, 6, 2, 4, 3], device='cuda:0')
Worker 6 has targets: tensor([2, 5, 0, 9, 9], device='cuda:0')
Worker 7 has targets: tensor([2, 2, 1, 9, 5], device='cuda:0')
Worker 8 has targets: tensor([3, 8, 7, 0, 3], device='cuda:0')
Worker 9 has targets: tensor([1, 7, 1, 7, 2], device='cuda:0')
Worker 10 has targets: tensor([8, 4, 4, 3, 9], device='cuda:0')
Worker 11 has targets: tensor([3, 4, 7, 7, 9], device='cuda:0')
Worker 12 has targets: tensor([7, 4, 3, 9, 4], device='cuda:0')
Worker 13 has targets: tensor([4, 5, 0, 7, 1], device='cuda:0')
Worker 14 has targets: tensor([4, 2, 3, 5, 5], device='cuda:0')
Worker 15 has targets: tensor([4, 7, 5, 4, 7], device='cuda:0')
Worker 16 has targets: tensor([1, 1, 5, 7, 9], device='cuda:0')
Worker 17 has targets: tensor([8, 7, 2, 2, 0], device='cuda:0')
Worker 18 has targets: tensor([7, 8, 0, 0, 6], device='cuda:0')
Worker 19 has targets: tensor([9, 9, 5, 2, 8], device='cuda:0')
Worker 20 has targets: tensor([4, 0, 4, 4, 4], device='cuda:0')
Worker 21 has targets: tensor([2, 6, 1, 4, 8], device='cuda:0')


[E 1B10 |   7744/60000 ( 13%) ] Loss: 1.8946 top1= 50.1562
[E 1B20 |  14784/60000 ( 25%) ] Loss: 0.8144 top1= 75.7812

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.4215 top1= 87.6302


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.4510 top1= 86.7688


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.4621 top1= 85.9275

Train epoch 2
[E 2B0  |    704/60000 (  1%) ] Loss: 0.5140 top1= 84.2188
[E 2B10 |   7744/60000 ( 13%) ] Loss: 0.4601 top1= 84.0625
[E 2B20 |  14784/60000 ( 25%) ] Loss: 0.3697 top1= 87.8125

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2807 top1= 91.9071


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2855 top1= 91.4563


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.3001 top1= 91.2560

Train epoch 3
[E 3B0  |    704/60000 (  1%) ] Loss: 0.2560 top1= 92.1875
[E 3B10 |   7744/60000 ( 13%) ] Loss: 0.2435 top1= 92.1875
[E 3B20 |  14784/60000 ( 25%) ] Loss: 0.2324 top1= 92.3438

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2354 top1= 93.1490


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2358 top1= 93.0889


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2492 top1= 92.4980

Train epoch 4
[E 4B0  |    704/60000 (  1%) ] Loss: 0.1758 top1= 95.1562
[E 4B10 |   7744/60000 ( 13%) ] Loss: 0.1541 top1= 95.9375
[E 4B20 |  14784/60000 ( 25%) ] Loss: 0.1545 top1= 95.3125

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2056 top1= 93.7901


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2186 top1= 93.1791


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2034 top1= 93.8902

Train epoch 5
[E 5B0  |    704/60000 (  1%) ] Loss: 0.1203 top1= 96.4062
[E 5B10 |   7744/60000 ( 13%) ] Loss: 0.1062 top1= 97.3438
[E 5B20 |  14784/60000 ( 25%) ] Loss: 0.1100 top1= 96.4062

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.1867 top1= 94.4111


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2069 top1= 93.7901


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.1833 top1= 94.2909

Train epoch 6
[E 6B0  |    704/60000 (  1%) ] Loss: 0.0874 top1= 97.6562
[E 6B10 |   7744/60000 ( 13%) ] Loss: 0.0754 top1= 98.1250
[E 6B20 |  14784/60000 ( 25%) ] Loss: 0.0792 top1= 97.6562

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.1812 top1= 94.6815


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.1983 top1= 94.3710


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.1807 top1= 94.6114

Train epoch 7
[E 7B0  |    704/60000 (  1%) ] Loss: 0.0599 top1= 98.9062
[E 7B10 |   7744/60000 ( 13%) ] Loss: 0.0454 top1= 99.3750
[E 7B20 |  14784/60000 ( 25%) ] Loss: 0.0633 top1= 98.4375

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.1791 top1= 94.9619


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.1970 top1= 94.5713


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.1873 top1= 94.6514

Train epoch 8
[E 8B0  |    704/60000 (  1%) ] Loss: 0.0437 top1= 99.2188
[E 8B10 |   7744/60000 ( 13%) ] Loss: 0.0286 top1= 99.8438
[E 8B20 |  14784/60000 ( 25%) ] Loss: 0.0398 top1= 98.9062

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.1814 top1= 94.9419


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2066 top1= 94.2208


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2013 top1= 94.3109

Train epoch 9
[E 9B0  |    704/60000 (  1%) ] Loss: 0.0311 top1= 99.3750
[E 9B10 |   7744/60000 ( 13%) ] Loss: 0.0216 top1= 99.8438
[E 9B20 |  14784/60000 ( 25%) ] Loss: 0.0363 top1= 98.9062

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.1828 top1= 95.0020


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2392 top1= 93.4395


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2014 top1= 94.6014

Train epoch 10
[E10B0  |    704/60000 (  1%) ] Loss: 0.0340 top1= 98.9062
[E10B10 |   7744/60000 ( 13%) ] Loss: 0.0298 top1= 99.3750
[E10B20 |  14784/60000 ( 25%) ] Loss: 0.0238 top1= 99.3750

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.1833 top1= 95.2023


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2243 top1= 94.1006


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.1814 top1= 95.2123

Train epoch 11
[E11B0  |    704/60000 (  1%) ] Loss: 0.0246 top1= 99.5312
[E11B10 |   7744/60000 ( 13%) ] Loss: 0.0264 top1= 99.3750
[E11B20 |  14784/60000 ( 25%) ] Loss: 0.0332 top1= 98.5938

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.1795 top1= 95.3526


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.1824 top1= 95.1923


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.1941 top1= 95.0921

Train epoch 12
[E12B0  |    704/60000 (  1%) ] Loss: 0.0284 top1= 99.0625
[E12B10 |   7744/60000 ( 13%) ] Loss: 0.0113 top1=100.0000
[E12B20 |  14784/60000 ( 25%) ] Loss: 0.0111 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.1923 top1= 95.1623


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.1889 top1= 95.3926


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2089 top1= 94.6615

Train epoch 13
[E13B0  |    704/60000 (  1%) ] Loss: 0.0161 top1= 99.6875
[E13B10 |   7744/60000 ( 13%) ] Loss: 0.0141 top1= 99.6875
[E13B20 |  14784/60000 ( 25%) ] Loss: 0.0111 top1= 99.8438

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.1858 top1= 95.4327


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.1896 top1= 95.3726


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.1979 top1= 95.1122

Train epoch 14
[E14B0  |    704/60000 (  1%) ] Loss: 0.0096 top1= 99.8438
[E14B10 |   7744/60000 ( 13%) ] Loss: 0.0051 top1=100.0000
[E14B20 |  14784/60000 ( 25%) ] Loss: 0.0053 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.1822 top1= 95.5329


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.1913 top1= 95.4227


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.1813 top1= 95.4627

Train epoch 15
[E15B0  |    704/60000 (  1%) ] Loss: 0.0029 top1=100.0000
[E15B10 |   7744/60000 ( 13%) ] Loss: 0.0035 top1=100.0000
[E15B20 |  14784/60000 ( 25%) ] Loss: 0.0029 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.1883 top1= 95.3926


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.1968 top1= 95.4527


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.1875 top1= 95.3626

Train epoch 16
[E16B0  |    704/60000 (  1%) ] Loss: 0.0025 top1=100.0000
[E16B10 |   7744/60000 ( 13%) ] Loss: 0.0020 top1=100.0000
[E16B20 |  14784/60000 ( 25%) ] Loss: 0.0019 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.1931 top1= 95.4527


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2010 top1= 95.4026


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.1908 top1= 95.4527

Train epoch 17
[E17B0  |    704/60000 (  1%) ] Loss: 0.0020 top1=100.0000
[E17B10 |   7744/60000 ( 13%) ] Loss: 0.0016 top1=100.0000
[E17B20 |  14784/60000 ( 25%) ] Loss: 0.0016 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.1953 top1= 95.4728


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2047 top1= 95.4026


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.1915 top1= 95.4627

Train epoch 18
[E18B0  |    704/60000 (  1%) ] Loss: 0.0015 top1=100.0000
[E18B10 |   7744/60000 ( 13%) ] Loss: 0.0016 top1=100.0000
[E18B20 |  14784/60000 ( 25%) ] Loss: 0.0015 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.1989 top1= 95.4828


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2077 top1= 95.4026


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.1953 top1= 95.4327

Train epoch 19
[E19B0  |    704/60000 (  1%) ] Loss: 0.0013 top1=100.0000
[E19B10 |   7744/60000 ( 13%) ] Loss: 0.0013 top1=100.0000
[E19B20 |  14784/60000 ( 25%) ] Loss: 0.0012 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2018 top1= 95.4728


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2107 top1= 95.4026


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.1973 top1= 95.4627

Train epoch 20
[E20B0  |    704/60000 (  1%) ] Loss: 0.0012 top1=100.0000
[E20B10 |   7744/60000 ( 13%) ] Loss: 0.0011 top1=100.0000
[E20B20 |  14784/60000 ( 25%) ] Loss: 0.0011 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2041 top1= 95.4928


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2132 top1= 95.4127


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.1996 top1= 95.4728

Train epoch 21
[E21B0  |    704/60000 (  1%) ] Loss: 0.0011 top1=100.0000
[E21B10 |   7744/60000 ( 13%) ] Loss: 0.0010 top1=100.0000
[E21B20 |  14784/60000 ( 25%) ] Loss: 0.0010 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2062 top1= 95.4828


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2156 top1= 95.4227


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2016 top1= 95.4327

Train epoch 22
[E22B0  |    704/60000 (  1%) ] Loss: 0.0010 top1=100.0000
[E22B10 |   7744/60000 ( 13%) ] Loss: 0.0009 top1=100.0000
[E22B20 |  14784/60000 ( 25%) ] Loss: 0.0009 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2083 top1= 95.4928


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2177 top1= 95.4227


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2035 top1= 95.4327

Train epoch 23
[E23B0  |    704/60000 (  1%) ] Loss: 0.0009 top1=100.0000
[E23B10 |   7744/60000 ( 13%) ] Loss: 0.0008 top1=100.0000
[E23B20 |  14784/60000 ( 25%) ] Loss: 0.0008 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2102 top1= 95.4928


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2198 top1= 95.4227


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2053 top1= 95.4327

Train epoch 24
[E24B0  |    704/60000 (  1%) ] Loss: 0.0008 top1=100.0000
[E24B10 |   7744/60000 ( 13%) ] Loss: 0.0008 top1=100.0000
[E24B20 |  14784/60000 ( 25%) ] Loss: 0.0008 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2120 top1= 95.4928


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2217 top1= 95.4327


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2070 top1= 95.4427

Train epoch 25
[E25B0  |    704/60000 (  1%) ] Loss: 0.0008 top1=100.0000
[E25B10 |   7744/60000 ( 13%) ] Loss: 0.0007 top1=100.0000
[E25B20 |  14784/60000 ( 25%) ] Loss: 0.0007 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2137 top1= 95.4828


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2235 top1= 95.4327


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2086 top1= 95.4427

Train epoch 26
[E26B0  |    704/60000 (  1%) ] Loss: 0.0007 top1=100.0000
[E26B10 |   7744/60000 ( 13%) ] Loss: 0.0007 top1=100.0000
[E26B20 |  14784/60000 ( 25%) ] Loss: 0.0007 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2153 top1= 95.4828


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2251 top1= 95.4227


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2101 top1= 95.4527

Train epoch 27
[E27B0  |    704/60000 (  1%) ] Loss: 0.0007 top1=100.0000
[E27B10 |   7744/60000 ( 13%) ] Loss: 0.0006 top1=100.0000
[E27B20 |  14784/60000 ( 25%) ] Loss: 0.0006 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2168 top1= 95.4728


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2268 top1= 95.4327


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2115 top1= 95.4427

Train epoch 28
[E28B0  |    704/60000 (  1%) ] Loss: 0.0006 top1=100.0000
[E28B10 |   7744/60000 ( 13%) ] Loss: 0.0006 top1=100.0000
[E28B20 |  14784/60000 ( 25%) ] Loss: 0.0006 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2182 top1= 95.4527


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2283 top1= 95.4327


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2129 top1= 95.4427

Train epoch 29
[E29B0  |    704/60000 (  1%) ] Loss: 0.0006 top1=100.0000
[E29B10 |   7744/60000 ( 13%) ] Loss: 0.0006 top1=100.0000
[E29B20 |  14784/60000 ( 25%) ] Loss: 0.0005 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2196 top1= 95.4527


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2298 top1= 95.4327


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2142 top1= 95.4427

Train epoch 30
[E30B0  |    704/60000 (  1%) ] Loss: 0.0006 top1=100.0000
[E30B10 |   7744/60000 ( 13%) ] Loss: 0.0005 top1=100.0000
[E30B20 |  14784/60000 ( 25%) ] Loss: 0.0005 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2209 top1= 95.4527


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2312 top1= 95.4327


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2154 top1= 95.4427

