Federated Continual Learning on ImageNet-R (10-split)
54.48Accuracy (ACC)FedProTIP
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| FedProTIPDistribution=alpha=0.52025.09 | 54.48 | 7.48 | |
| FedProTIPDistribution=IID2025.09 | 52.68 | 10.34 | |
| FedProTIP (-t)Distribution=IID2025.09 | 41.35 | 8.8 | |
| FedProTIP (-t)Distribution=alpha=0.52025.09 | 35.64 | 8.65 | |
| FOTDistribution=alpha=0.52025.09 | 26.31 | 15.52 | |
| LANDERDistribution=IID2025.09 | 24.53 | 5.39 | |
| LANDERDistribution=alpha=0.52025.09 | 23.96 | 3.1 | |
| FOTDistribution=IID2025.09 | 23.68 | 14.61 | |
| TARGETDistribution=IID2025.09 | 17.64 | 25.83 | |
| TARGETDistribution=alpha=0.52025.09 | 14.6 | 23.52 | |
| FedAvgDistribution=IID2025.09 | 8.74 | 43.84 | |
| FedAvgDistribution=alpha=0.52025.09 | 8.15 | 41.14 | |
| LGADistribution=IID2025.09 | 5.84 | 36.41 | |
| LGADistribution=alpha=0.52025.09 | 5.76 | 35.05 | |
| GLFCDistribution=IID2025.09 | 3.34 | 29.88 | |
| GLFCDistribution=alpha=0.52025.09 | 3.18 | 29.8 |