Federated Learning Fairness on Fashion MNIST (test)
1.005Accuracy VarianceDFedReweighting
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| DFedReweightingData Heterogeneity (DH)=IID, T=0.012025.12 | 1.005 | 82.46 | |
| q-FDFLData Heterogeneity (DH)=IID, q=0.012025.12 | 1.151 | 81.757 | |
| q-FDFLData Heterogeneity (DH)=IID, q=0.52025.12 | 1.153 | 83.947 | |
| DFedReweightingData Heterogeneity (DH)=IID, T=0.52025.12 | 1.196 | 81.653 | |
| q-FDFLData Heterogeneity (DH)=IID, q=0.12025.12 | 1.237 | 83.04 | |
| DFedReweightingData Heterogeneity (DH)=IID, T=0.12025.12 | 1.243 | 82.147 | |
| DFedAvgData Heterogeneity (DH)=IID2025.12 | 1.455 | 81.597 | |
| DFedReweightingData Heterogeneity (DH)=Diri(1.0), T=0.12025.12 | 10.452 | 85.549 | |
| DFedReweightingData Heterogeneity (DH)=Diri(1.0), T=0.52025.12 | 11.976 | 83.995 | |
| DFedReweightingData Heterogeneity (DH)=Diri(0.1), T=0.12025.12 | 13.422 | 95.39 | |
| DFedReweightingData Heterogeneity (DH)=Diri(1.0), T=0.012025.12 | 14.253 | 84.003 | |
| DFedReweightingData Heterogeneity (DH)=LabelSkew(4), T=0.12025.12 | 15.876 | 92.182 | |
| DFedReweightingData Heterogeneity (DH)=Diri(0.1), T=0.012025.12 | 16.657 | 95.881 | |
| DFedReweightingData Heterogeneity (DH)=LabelSkew(4), T=0.012025.12 | 17.589 | 91.773 | |
| q-FDFLData Heterogeneity (DH)=Diri(1.0), q=0.012025.12 | 18.012 | 82.923 | |
| q-FDFLData Heterogeneity (DH)=Diri(1.0), q=0.12025.12 | 18.02 | 83.204 | |
| q-FDFLData Heterogeneity (DH)=Diri(1.0), q=0.52025.12 | 20.125 | 83.686 | |
| DFedAvgData Heterogeneity (DH)=Diri(1.0)2025.12 | 22.61 | 83.172 | |
| DFedReweightingData Heterogeneity (DH)=LabelSkew(4), T=0.52025.12 | 35.302 | 89.697 | |
| q-FDFLData Heterogeneity (DH)=LabelSkew(4), q=0.012025.12 | 147.575 | 72.308 | |
| DFedReweightingData Heterogeneity (DH)=Diri(0.1), T=0.52025.12 | 161.933 | 86.862 | |
| DFedAvgData Heterogeneity (DH)=LabelSkew(4)2025.12 | 184.043 | 75.315 | |
| q-FDFLData Heterogeneity (DH)=LabelSkew(4), q=0.12025.12 | 199.828 | 73.005 | |
| q-FDFLData Heterogeneity (DH)=LabelSkew(4), q=0.52025.12 | 215.891 | 74.968 | |
| q-FDFLData Heterogeneity (DH)=Diri(0.1), q=0.12025.12 | 335.066 | 76.112 | |
| DFedAvgData Heterogeneity (DH)=Diri(0.1)2025.12 | 360.772 | 76.972 | |
| q-FDFLData Heterogeneity (DH)=Diri(0.1), q=0.52025.12 | 414.974 | 74.97 | |
| q-FDFLData Heterogeneity (DH)=Diri(0.1), q=0.012025.12 | 429.66 | 76.493 |