Federated Image Classification on CIFAR100 (test)
70.78AccuracyFairGrad*
Evaluation Results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| FairGrad*Dirichlet concentration parameter (alpha)=0.1, Number of clients=1002025.08 | 70.78 | — | — | — | 0.77 | |
| FairGradDirichlet concentration parameter (alpha)=0.5, Number of clients=1002025.08 | 70.52 | — | — | — | 0.86 | |
| FairGrad*Dirichlet concentration parameter (alpha)=0.5, Number of clients=1002025.08 | 69.67 | — | — | — | 0.78 | |
| FairGradDirichlet concentration parameter (alpha)=0.1, Number of clients=1002025.08 | 69.38 | — | — | — | 0.91 | |
| FairGrad*Dirichlet concentration parameter (alpha)=0.05, Number of clients=1002025.08 | 69.23 | — | — | — | 0.79 | |
| FairGradDirichlet concentration parameter (alpha)=0.05, Number of clients=1002025.08 | 68.9 | — | — | — | 0.82 | |
| q-FFLDirichlet concentration parameter (alpha)=0.1, Number of clients=1002025.08 | 67.7 | — | — | — | 0.86 | |
| FairLossDirichlet concentration parameter (alpha)=0.1, Number of clients=1002025.08 | 67.55 | — | — | — | 0.88 | |
| AFLDirichlet concentration parameter (alpha)=0.5, Number of clients=1002025.08 | 67.46 | — | — | — | 2.49 | |
| FairLoss*Dirichlet concentration parameter (alpha)=0.1, Number of clients=1002025.08 | 67.41 | — | — | — | 0.9 | |
| FairLoss*Dirichlet concentration parameter (alpha)=0.5, Number of clients=1002025.08 | 67.26 | — | — | — | 0.82 | |
| AAggFFDirichlet concentration parameter (alpha)=0.5, Number of clients=1002025.08 | 67.22 | — | — | — | 0.89 | |
| q-FFLDirichlet concentration parameter (alpha)=0.5, Number of clients=1002025.08 | 67.2 | — | — | — | 0.92 | |
| FairLoss*Dirichlet concentration parameter (alpha)=0.05, Number of clients=1002025.08 | 67.16 | — | — | — | 0.88 | |
| FedAvgDirichlet concentration parameter (alpha)=0.05, Number of clients=1002025.08 | 66.98 | — | — | — | 0.88 | |
| FairLossDirichlet concentration parameter (alpha)=0.5, Number of clients=1002025.08 | 66.94 | — | — | — | 0.81 | |
| AAggFFDirichlet concentration parameter (alpha)=0.05, Number of clients=1002025.08 | 66.83 | — | — | — | 0.93 | |
| FedAvgDirichlet concentration parameter (alpha)=0.1, Number of clients=1002025.08 | 66.69 | — | — | — | 0.96 | |
| AAggFFDirichlet concentration parameter (alpha)=0.1, Number of clients=1002025.08 | 66.68 | — | — | — | 0.85 | |
| FairLossDirichlet concentration parameter (alpha)=0.05, Number of clients=1002025.08 | 66.46 | — | — | — | 0.81 | |
| q-FFLDirichlet concentration parameter (alpha)=0.05, Number of clients=1002025.08 | 66.36 | — | — | — | 0.9 | |
| FedAvgDirichlet concentration parameter (alpha)=0.5, Number of clients=1002025.08 | 66.35 | — | — | — | 0.92 | |
| AFLDirichlet concentration parameter (alpha)=0.1, Number of clients=1002025.08 | 61.44 | — | — | — | 4.01 | |
| MCAAttack Name=LIE Attack, beta=0.2, b=0.12026.05 | 58.81 | — | — | 0.3745 | — | |
| Geometric MedianAttack Name=Gaussian Attack, beta=0.6, b=0.12026.05 | 58.79 | — | — | 0.9003 | — | |
| MCAAttack Name=Gaussian Attack, beta=0.6, b=0.12026.05 | 58.76 | — | — | 0.4219 | — | |
| PDR+MCAAttack Name=Gaussian Attack, beta=0.6, b=0.12026.05 | 58.74 | — | — | 0.1611 | — | |
| Geometric MedianAttack Name=LIE Attack, beta=0.6, b=0.12026.05 | 58.73 | — | — | 0.8749 | — | |
| PDR+Geometric MedianAttack Name=LIE Attack, beta=0.6, b=0.12026.05 | 58.72 | — | — | 0.1616 | — | |
| PDR+MCAAttack Name=LIE Attack, beta=0.6, b=0.12026.05 | 58.69 | — | — | 0.144 | — | |
| PDR+Geometric MedianAttack Name=Gaussian Attack, beta=0.6, b=0.12026.05 | 58.67 | — | — | 0.1933 | — | |
| MCAAttack Name=LIE Attack, beta=0.6, b=0.12026.05 | 58.67 | — | — | 0.3671 | — | |
| PDR+MCAAttack Name=Sign-flip Attack, beta=0.6, b=0.12026.05 | 58.59 | — | — | 0.161 | — | |
| PDR+MCAAttack Name=Gaussian Attack, beta=0.2, b=0.12026.05 | 58.58 | — | — | 0.16 | — | |
| PDR+Geometric MedianAttack Name=Gaussian Attack, beta=0.6, b=0.32026.05 | 58.52 | — | — | 0.1637 | — | |
| MCAAttack Name=Gaussian Attack, beta=0.2, b=0.12026.05 | 58.52 | — | — | 0.4234 | — | |
| PDR+MCAAttack Name=LIE Attack, beta=0.2, b=0.12026.05 | 58.51 | — | — | 0.1495 | — | |
| Geometric MedianAttack Name=LIE Attack, beta=0.2, b=0.12026.05 | 58.5 | — | — | 0.9742 | — | |
| PDR+Geometric MedianAttack Name=LIE Attack, beta=0.2, b=0.12026.05 | 58.49 | — | — | 0.1595 | — | |
| Geometric MedianAttack Name=Gaussian Attack, beta=0.6, b=0.32026.05 | 58.45 | — | — | 0.918 | — | |
| MCAAttack Name=FoE Attack, beta=0.6, b=0.12026.05 | 58.41 | — | — | 0.4394 | — | |
| PDR+Geometric MedianAttack Name=Gaussian Attack, beta=0.2, b=0.12026.05 | 58.38 | — | — | 0.191 | — | |
| MCAAttack Name=LIE Attack, beta=0.6, b=0.32026.05 | 58.36 | — | — | 0.3669 | — | |
| MCAAttack Name=Sign-flip Attack, beta=0.6, b=0.12026.05 | 58.35 | — | — | 0.477 | — | |
| BulyanAttack Name=Gaussian Attack, beta=0.6, b=0.12026.05 | 58.31 | — | — | 8.5972 | — | |
| Geometric MedianAttack Name=LIE Attack, beta=0.6, b=0.32026.05 | 58.31 | — | — | 0.9026 | — | |
| PDR+MCAAttack Name=Gaussian Attack, beta=0.6, b=0.32026.05 | 58.31 | — | — | 0.137 | — | |
| Geometric MedianAttack Name=Gaussian Attack, beta=0.2, b=0.12026.05 | 58.3 | — | — | 0.9768 | — | |
| MCAAttack Name=Gaussian Attack, beta=0.6, b=0.32026.05 | 58.3 | — | — | 0.3709 | — | |
| PDR+MCAAttack Name=FoE Attack, beta=0.6, b=0.12026.05 | 58.3 | — | — | 0.1514 | — | |
| PDR+MCAAttack Name=LIE Attack, beta=0.6, b=0.32026.05 | 58.29 | — | — | 0.1356 | — | |
| BulyanAttack Name=LIE Attack, beta=0.6, b=0.12026.05 | 58.24 | — | — | 8.4861 | — | |
| BulyanAttack Name=Sign-flip Attack, beta=0.2, b=0.12026.05 | 58.22 | — | — | 8.2949 | — | |
| BulyanAttack Name=Sign-flip Attack, beta=0.6, b=0.12026.05 | 58.18 | — | — | 8.5215 | — | |
| PDR+Geometric MedianAttack Name=LIE Attack, beta=0.6, b=0.32026.05 | 58.04 | — | — | 0.164 | — | |
| PDR+BulyanAttack Name=Gaussian Attack, beta=0.6, b=0.12026.05 | 58.01 | — | — | 0.1216 | — | |
| MCAAttack Name=FoE Attack, beta=0.2, b=0.12026.05 | 57.96 | — | — | 0.443 | — | |
| BulyanAttack Name=Gaussian Attack, beta=0.2, b=0.12026.05 | 57.88 | — | — | 8.3849 | — | |
| PDR+BulyanAttack Name=Sign-flip Attack, beta=0.6, b=0.12026.05 | 57.87 | — | — | 0.115 | — | |
| BulyanAttack Name=LIE Attack, beta=0.2, b=0.12026.05 | 57.87 | — | — | 9.0898 | — | |
| PDR+BulyanAttack Name=LIE Attack, beta=0.6, b=0.12026.05 | 57.84 | — | — | 0.1104 | — | |
| PDR+MCAAttack Name=FoE Attack, beta=0.2, b=0.12026.05 | 57.82 | — | — | 0.1502 | — | |
| PDR+MCAAttack Name=LIE Attack, beta=0.2, b=0.32026.05 | 57.78 | — | — | 0.16 | — | |
| Geometric MedianAttack Name=Gaussian Attack, beta=0.2, b=0.32026.05 | 57.73 | — | — | 0.9659 | — | |
| MCAAttack Name=Gaussian Attack, beta=0.2, b=0.32026.05 | 57.69 | — | — | 0.3733 | — | |
| PDR+Geometric MedianAttack Name=LIE Attack, beta=0.2, b=0.32026.05 | 57.64 | — | — | 0.2033 | — | |
| PDR+BulyanAttack Name=LIE Attack, beta=0.2, b=0.12026.05 | 57.57 | — | — | 0.1104 | — | |
| PDR+BulyanAttack Name=Gaussian Attack, beta=0.2, b=0.12026.05 | 57.55 | — | — | 0.1216 | — | |
| Geometric MedianAttack Name=LIE Attack, beta=0.2, b=0.32026.05 | 57.53 | — | — | 0.9583 | — | |
| PDR+BulyanAttack Name=Sign-flip Attack, beta=0.2, b=0.12026.05 | 57.5 | — | — | 0.1158 | — | |
| AFLDirichlet concentration parameter (alpha)=0.05, Number of clients=1002025.08 | 57.5 | — | — | — | 4.94 | |
| PDR+Geometric MedianAttack Name=Gaussian Attack, beta=0.2, b=0.32026.05 | 57.49 | — | — | 0.1678 | — | |
| MCAAttack Name=Sign-flip Attack, beta=0.2, b=0.12026.05 | 57.47 | — | — | 0.5364 | — | |
| PDR+MCAAttack Name=Sign-flip Attack, beta=0.2, b=0.12026.05 | 57.46 | — | — | 0.1806 | — | |
| MCAAttack Name=LIE Attack, beta=0.2, b=0.32026.05 | 57.45 | — | — | 0.3693 | — | |
| PDR+MCAAttack Name=Gaussian Attack, beta=0.2, b=0.32026.05 | 57.43 | — | — | 0.1465 | — | |
| PDR+BulyanAttack Name=FoE Attack, beta=0.6, b=0.12026.05 | 57.4 | — | — | 0.1143 | — | |
| BulyanAttack Name=FoE Attack, beta=0.6, b=0.12026.05 | 57.26 | — | — | 8.586 | — | |
| BulyanAttack Name=FoE Attack, beta=0.2, b=0.12026.05 | 57.18 | — | — | 8.3615 | — | |
| PDR+MCAAttack Name=FoE Attack, beta=0.2, b=0.32026.05 | 56.74 | — | — | 0.1463 | — | |
| MCAAttack Name=FoE Attack, beta=0.6, b=0.32026.05 | 56.69 | — | — | 0.439 | — | |
| PDR+MCAAttack Name=FoE Attack, beta=0.6, b=0.32026.05 | 56.5 | — | — | 0.1496 | — | |
| MCAAttack Name=FoE Attack, beta=0.2, b=0.32026.05 | 56.31 | — | — | 0.4352 | — | |
| PDR+BulyanAttack Name=FoE Attack, beta=0.2, b=0.12026.05 | 56 | — | — | 0.1164 | — | |
| BulyanAttack Name=Sign-flip Attack, beta=0.6, b=0.32026.05 | 54.74 | — | — | 8.3996 | — | |
| BulyanAttack Name=Gaussian Attack, beta=0.6, b=0.32026.05 | 54.34 | — | — | 8.4082 | — | |
| BulyanAttack Name=LIE Attack, beta=0.6, b=0.32026.05 | 54.13 | — | — | 8.3766 | — | |
| PDR+Geometric MedianAttack Name=Sign-flip Attack, beta=0.6, b=0.12026.05 | 53.8 | — | — | 0.1621 | — | |
| Geometric MedianAttack Name=Sign-flip Attack, beta=0.6, b=0.12026.05 | 53.39 | — | — | 0.9113 | — | |
| PDR+Geometric MedianAttack Name=FoE Attack, beta=0.6, b=0.12026.05 | 52.64 | — | — | 0.7713 | — | |
| Geometric MedianAttack Name=FoE Attack, beta=0.6, b=0.12026.05 | 52.5 | — | — | 3.4242 | — | |
| PDR+BulyanAttack Name=Gaussian Attack, beta=0.6, b=0.32026.05 | 51.93 | — | — | 0.1031 | — | |
| BulyanAttack Name=Gaussian Attack, beta=0.2, b=0.32026.05 | 51.09 | — | — | 8.1728 | — | |
| PDR+BulyanAttack Name=Sign-flip Attack, beta=0.6, b=0.32026.05 | 50.98 | — | — | 0.1031 | — | |
| BulyanAttack Name=Sign-flip Attack, beta=0.2, b=0.32026.05 | 50.87 | — | — | 8.1393 | — | |
| PDR+Geometric MedianAttack Name=Sign-flip Attack, beta=0.2, b=0.12026.05 | 50.75 | — | — | 0.1812 | — | |
| Geometric MedianAttack Name=Sign-flip Attack, beta=0.2, b=0.12026.05 | 50.74 | — | — | 0.9866 | — | |
| PDR+BulyanAttack Name=LIE Attack, beta=0.6, b=0.32026.05 | 50.7 | — | — | 0.1009 | — | |
| BulyanAttack Name=LIE Attack, beta=0.2, b=0.32026.05 | 50.04 | — | — | 8.1654 | — | |
| Geometric MedianAttack Name=FoE Attack, beta=0.2, b=0.12026.05 | 48.05 | — | — | 4.8993 | — |