Federated Learning Image Classification on Office-Caltech10 (test)
19.5Amazon AccuracyFedBN
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| FedBNDirichlet alpha=1.0, Heterogeneity=Label Skew and Feature Skew2023.12 | 19.5 | 12.6 | 11.9 | 2.4 | 11.6 | |
| COPADirichlet alpha=1.0, Heterogeneity=Label Skew and Feature Skew2023.12 | 17.5 | 11.5 | 8.1 | 4.7 | 10.4 | |
| Fed-CO2Dirichlet alpha=1.0, Heterogeneity=Label Skew and Feature Skew2023.12 | 17.5 | 16.6 | 12.5 | 3.7 | 12.6 | |
| FedPerDirichlet alpha=1.0, Heterogeneity=Label Skew and Feature Skew2023.12 | 16.5 | 16.1 | 11.9 | 1.7 | 11.5 | |
| FedAvgDirichlet alpha=1.0, Heterogeneity=Label Skew and Feature Skew2023.12 | 15.9 | 15 | 11.2 | 3 | 11.3 | |
| FedRoDDirichlet alpha=1.0, Heterogeneity=Label Skew and Feature Skew2023.12 | 14.7 | 12.1 | 6.25 | 6.4 | 9.9 | |
| SingleSetDirichlet alpha=1.0, Heterogeneity=Label Skew and Feature Skew2023.12 | 14.6 | 15.2 | 10 | 3.4 | 10.8 | |
| FedProxDirichlet alpha=1.0, Heterogeneity=Label Skew and Feature Skew2023.12 | 14 | 13 | 9.4 | 5.1 | 10.4 |