Federated Class-Incremental Learning on ImageNet-R
75.23FAA (β=0.5)C²Prompt
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| C²PromptPublication=This Paper2025.09 | 75.23 | 69.74 | 68.74 | |
| PowderPublication=ICML 20242025.09 | 74.62 | 67.14 | 62.26 | |
| LoRMPublication=ICLR 20252025.09 | 72.48 | 63.83 | 66.45 | |
| CCVRPublication=NeurIPS 20212025.09 | 70 | 62.6 | 60.38 | |
| RegMeanPublication=ICLR 20232025.09 | 61.18 | 57 | 55.8 | |
| CODA-PPublication=CVPR 20232025.09 | 61.18 | 36.73 | 25.82 | |
| EWCPublication=NAS 20172025.09 | 58.93 | 48.15 | 43.68 | |
| FisherAVGPublication=NeurIPS 20222025.09 | 58.68 | 50.82 | 47.33 | |
| FedProtoPublication=AAAI 20222025.09 | 58.52 | 47.3 | 52.93 | |
| TARGETPublication=ICCV 20232025.09 | 54.65 | 45.83 | 41.32 | |
| LwFPublication=PAMI 20172025.09 | 54.03 | 41.02 | 46.07 | |
| PILoRAPublication=ECCV 20242025.09 | 53.67 | 51.62 | 49.37 | |
| L2PPublication=CVPR 20222025.09 | 42.08 | 23.85 | 16.98 |