Federated Learning Model Control on CIFAR10
83.85FRL AccuracyNo Attack
Evaluation results
| Method | Links | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| No AttackModel=Conv8, Attack=None, Target τ (%)=/2026.01 | 83.85 | 84.43 | 84.47 | 84.64 | 85.16 | 84.83 | 84.53 | 84.44 | 84.62 | |
| RRAModel=Conv8, Attack=RRA, Target τ (%)=402026.01 | 2.41 | 1.65 | 2.01 | 3 | 1.9 | 1.99 | 2.07 | 3.98 | 1.83 | |
| RRAModel=Conv8, Attack=RRA, Target τ (%)=502026.01 | 1.72 | 1.99 | 1.62 | 1.73 | 1.84 | 1.7 | 2.1 | 2.39 | 1.75 | |
| RRAModel=Conv8, Attack=RRA, Target τ (%)=602026.01 | 1.68 | 2.23 | 1.63 | 1.39 | 1.65 | 1.77 | 2.25 | 1.57 | 1.77 | |
| ECAModel=Conv8, Attack=ECA, Target τ (%)=402026.01 | 0.18 | 0.14 | 0.11 | 0.08 | 0.05 | 0.08 | 0.17 | 0.34 | 0.09 | |
| ECAModel=Conv8, Attack=ECA, Target τ (%)=602026.01 | 0.1 | 0.04 | 0.03 | 0.06 | 0.04 | 0.04 | 0.03 | 0.18 | 0.06 | |
| ECAModel=Conv8, Attack=ECA, Target τ (%)=502026.01 | 0.09 | 0.05 | 0.05 | 0.05 | 0.04 | 0.09 | 0.06 | 0.38 | 0.08 |