Federated Continual Learning on ImageNet-R (20-split)
34.8AccuracyFedProTIP
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| FedProTIPDistribution=IID2025.09 | 34.8 | 12.03 | |
| FedProTIP (-t)Distribution=IID2025.09 | 31.43 | 10.37 | |
| FedProTIPDistribution=alpha=0.52025.09 | 25.62 | 12.21 | |
| FedProTIP (-t)Distribution=alpha=0.52025.09 | 22.75 | 10.97 | |
| FOTDistribution=IID2025.09 | 22.5 | 16.08 | |
| FOTDistribution=alpha=0.52025.09 | 16.27 | 13.26 | |
| LANDERDistribution=IID2025.09 | 12.23 | 10.33 | |
| FedAvgDistribution=IID2025.09 | 9.77 | 43.18 | |
| TARGETDistribution=IID2025.09 | 9.77 | 29.87 | |
| LANDERDistribution=alpha=0.52025.09 | 8.73 | 8 | |
| TARGETDistribution=alpha=0.52025.09 | 8.18 | 24.63 | |
| FedAvgDistribution=alpha=0.52025.09 | 6.08 | 31.75 | |
| LGADistribution=IID2025.09 | 3.32 | 43.29 | |
| LGADistribution=alpha=0.52025.09 | 2.52 | 40.76 | |
| GLFCDistribution=IID2025.09 | 2.12 | 36.12 | |
| GLFCDistribution=alpha=0.52025.09 | 1.43 | 30.4 |