Multi-label Classification on CheXpert Local (test)
0.7747Dir (1)PERADA
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| PERADAPersonalization=Adapter2023.02 | 0.7747 | 0.7698 | |
| PERADA W/O KDPersonalization=Adapter2023.02 | 0.7745 | 0.7677 | |
| FEDALTPersonalization=Adapter2023.02 | 0.7252 | 0.7213 | |
| FEDSIMPersonalization=Adapter2023.02 | 0.72 | 0.7175 | |
| APFLPersonalization=Full2023.02 | 0.6921 | 0.6898 | |
| FEDBNPersonalization=BN2023.02 | 0.6909 | 0.6874 | |
| DITTOPersonalization=Full2023.02 | 0.6865 | 0.6879 | |
| FEDSIMPersonalization=Output2023.02 | 0.6851 | 0.6822 | |
| FEDALTPersonalization=Output2023.02 | 0.6831 | 0.6827 | |
| FEDALTPersonalization=Input2023.02 | 0.6774 | 0.6763 | |
| FEDSIMPersonalization=Input2023.02 | 0.6765 | 0.6749 | |
| FEDREPPersonalization=Output2023.02 | 0.6642 | 0.6666 | |
| LG-FEDAVGPersonalization=Feat. extractor2023.02 | 0.6577 | 0.6578 | |
| MTLPersonalization=Full2023.02 | 0.6518 | 0.6515 | |
| PFEDMEPersonalization=Full2023.02 | 0.648 | 0.6507 | |
| STANDALONEPersonalization=Full2023.02 | 0.6469 | 0.6506 |