Federated Continual Learning on CIFAR-100
97.32Average Accuracy
C²Prompt
Updated 1mo ago
Evaluation Results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
2025.09 | 97.32 | 96.78 | -0.05 | 2.57 | 0.31 | 2.82 | |
2025.09 | 95.78 | 95.83 | 0.35 | 2.03 | -0.36 | 1.74 | |
2025.09 | 95.65 | 95.68 | 0.08 | 0.89 | 0.08 | 0.95 | |
2025.09 | 95.35 | 95.92 | 0.35 | 5.51 | -0.54 | 5.08 | |
2025.09 | 95.35 | 95.08 | 0.27 | 0.7 | -0.24 | 0.51 | |
2025.09 | 95.17 | 95.61 | 0.48 | 3.76 | -0.91 | 3.04 | |
2025.09 | 94.22 | 94.04 | 0.08 | 0.32 | 0 | 0.32 | |
2025.09 | 94.17 | 94.87 | 1.03 | 0.37 | -2.46 | -1.6 | |
2025.09 | 85.11 | 87.23 | 0.2 | -0.31 | -0.11 | -0.45 | |
2025.09 | 82.05 | 55.71 | 13.77 | -30.25 | -18.6 | -45.13 | |
2025.09 | 77.42 | 80.11 | 0.74 | 0.07 | 0.2 | 0.22 | |
2025.09 | 76.21 | 82.31 | 0.32 | 0.01 | -0.42 | -0.4 | |
2025.09 | 73.87 | 79.06 | 2.07 | -11.01 | -4.71 | -14.78 |