AUC Maximization on german
0.763AUCLocalized SGD for Pairwise Learning
Evaluation results
| Method | Links | ||
|---|---|---|---|
| Localized SGD for Pairwise Learningprivacy=Non-Private, training size=2562021.11 | 0.763 | — | |
| DPEGDepsilon=2, training size=2562021.11 | 0.757 | — | |
| DPEGDtraining size (n)=300, epsilon=12021.11 | 0.755 | 2.57 | |
| DPEGDepsilon=1.5, training size=2562021.11 | 0.753 | — | |
| Differentially Private Localized SGD for Pairwise Learningepsilon=2, training size=2562021.11 | 0.749 | — | |
| Differentially Private Localized SGD for Pairwise Learningepsilon=1.5, training size=2562021.11 | 0.747 | — | |
| DPEGDepsilon=1, training size=2562021.11 | 0.742 | — | |
| Differentially Private Localized SGD for Pairwise Learningtraining size (n)=300, epsilon=12021.11 | 0.734 | 0.767 | |
| Differentially Private Localized SGD for Pairwise Learningepsilon=1, training size=2562021.11 | 0.725 | — | |
| DPEGDepsilon=0.8, training size=2562021.11 | 0.723 | — | |
| Differentially Private Localized SGD for Pairwise Learningepsilon=0.8, training size=2562021.11 | 0.721 | — | |
| DPEGDepsilon=0.5, training size=2562021.11 | 0.703 | — | |
| DPEGDtraining size (n)=200, epsilon=12021.11 | 0.7 | 1.88 | |
| Differentially Private Localized SGD for Pairwise Learningtraining size (n)=200, epsilon=12021.11 | 0.692 | 0.637 | |
| DPEGDtraining size (n)=100, epsilon=12021.11 | 0.687 | 1 | |
| Differentially Private Localized SGD for Pairwise Learningtraining size (n)=100, epsilon=12021.11 | 0.681 | 0.377 | |
| Differentially Private Localized SGD for Pairwise Learningepsilon=0.5, training size=2562021.11 | 0.672 | — | |
| Differentially Private Localized SGD for Pairwise Learningepsilon=0.2, training size=2562021.11 | 0.614 | — | |
| DPEGDepsilon=0.2, training size=2562021.11 | 0.598 | — |