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 | - | |
2026.06 | 93.96 | - | - | - | - | - | 89.82 | |
2026.06 | 93.91 | - | - | - | - | - | 89.9 | |
2026.06 | 93.71 | - | - | - | - | - | 89.61 | |
2026.06 | 93.34 | - | - | - | - | - | 89.68 | |
2026.06 | 93.3 | - | - | - | - | - | 89.74 | |
2026.06 | 92.68 | - | - | - | - | - | 88.73 | |
2025.09 | 85.11 | 87.23 | 0.2 | -0.31 | -0.11 | -0.45 | - | |
2026.06 | 83.59 | - | - | - | - | - | 77.17 | |
2026.06 | 83.46 | - | - | - | - | - | 76.81 | |
2026.06 | 83.02 | - | - | - | - | - | 75.07 | |
2026.06 | 82.85 | - | - | - | - | - | 74.09 | |
2026.06 | 82.2 | - | - | - | - | - | 74.12 | |
2025.09 | 82.05 | 55.71 | 13.77 | -30.25 | -18.6 | -45.13 | - | |
2026.06 | 81.43 | - | - | - | - | - | 73.86 | |
2026.06 | 78.12 | - | - | - | - | - | 65.77 | |
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 | - | |
2026.06 | 75.07 | - | - | - | - | - | 65.87 | |
2026.06 | 74.8 | - | - | - | - | - | 64.02 | |
2025.09 | 73.87 | 79.06 | 2.07 | -11.01 | -4.71 | -14.78 | - | |
2026.06 | 69.67 | - | - | - | - | - | 61.68 | |
2026.06 | 69.11 | - | - | - | - | - | 56.31 | |
2026.06 | 67.75 | - | - | - | - | - | 55.54 |