Domain-Incremental Classification on OpenImage (test)
95.22Accuracy (T1)FedET
Evaluation results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| FedETBackbone=ResNet-182026.02 | 95.22 | 44.52 | 39.94 | 34.14 | 33.61 | 32.27 | |
| FedAvgBackbone=ResNet-18, Local training epochs=1, Communication rounds=202026.02 | 93.69 | 41.54 | 33.97 | 28.94 | 24.75 | 25.22 | |
| FedProxBackbone=ResNet-18, Local training epochs=1, Communication rounds=202026.02 | 93.69 | 41.54 | 33.98 | 29.64 | 24.73 | 25.22 | |
| FedEWCBackbone=ResNet-18, Regularization parameter lambda=0.1, Local training epochs=12026.02 | 93.69 | 41.64 | 34.22 | 29.02 | 25.02 | 25.19 | |
| FedAvgBackbone=ResNet-18, Incremental Setup=Domain-Incremental, Task Progression=Incremental2026.02 | 64.38 | 52.64 | 53.08 | 58.44 | 58.68 | 57.14 | |
| FedProxBackbone=ResNet-18, Incremental Setup=Domain-Incremental, Task Progression=Incremental2026.02 | 64.38 | 52.55 | 53.62 | 53.94 | 57.25 | 57.2 | |
| FedEWCBackbone=ResNet-18, Incremental Setup=Domain-Incremental, Task Progression=Incremental, lambda=0.12026.02 | 64.38 | 52.72 | 53.42 | 59.66 | 59.22 | 58.04 | |
| FedIL+Backbone=ResNet-182026.02 | 63.24 | 49.87 | 49.26 | 47.26 | 47.92 | 44.56 | |
| OSCAR-ILBackbone=ResNet-18, Training mode=Incremental learning on new task only2026.02 | 53.5 | 47.5 | 48.33 | 45.85 | 46.76 | 45.76 | |
| OSCAR-RBackbone=ResNet-18, Regularization parameter lambda=0.12026.02 | 53.5 | 45.41 | 47.56 | 44.64 | 45.42 | 45.24 | |
| OSI-FLBackbone=ResNet-18, Retained samples p=52026.02 | 53.5 | 52.36 | 53.85 | 57.18 | 60.85 | 56.67 | |
| OSCAR-ILBackbone=ResNet-18, Incremental Setup=Domain-Incremental, Task Progression=Incremental2026.02 | 52.74 | 47.4 | 48.72 | 45.66 | 46.67 | 45.78 | |
| OSCAR-RBackbone=ResNet-18, Incremental Setup=Domain-Incremental, Task Progression=Incremental, lambda=0.12026.02 | 52.74 | 45.41 | 47.56 | 44.64 | 45.42 | 45.24 | |
| OSI-FLBackbone=ResNet-18, Incremental Setup=Domain-Incremental, Task Progression=Incremental, retained samples per task=52026.02 | 52.74 | 52.36 | 53.85 | 52.74 | 60.85 | 59.67 |