Single-label unlearning on ModelNet
82.3Accuracy Retention (Acc_r)Retrain
Evaluation results
| Method | Links | ||
|---|---|---|---|
| RetrainBackbone=ResNet18, Learning Setting=Vertical Federated Learning (VFL)2026.05 | 82.3 | 0 | |
| FTBackbone=ResNet18, Learning Setting=Vertical Federated Learning (VFL)2026.05 | 81.7 | 52.7 | |
| SSDBackbone=ResNet18, Learning Setting=Vertical Federated Learning (VFL)2026.05 | 81.7 | 39.3 | |
| AmnesiacBackbone=ResNet18, Learning Setting=Vertical Federated Learning (VFL)2026.05 | 75.3 | 29.3 | |
| BUBackbone=ResNet18, Learning Setting=Vertical Federated Learning (VFL)2026.05 | 73.3 | 8.7 | |
| UNSIRBackbone=ResNet18, Learning Setting=Vertical Federated Learning (VFL)2026.05 | 14.9 | 5.3 | |
| TargetBackbone=ResNet18, Learning Setting=Vertical Federated Learning (VFL)2026.05 | 11.8 | 0 | |
| FisherBackbone=ResNet18, Learning Setting=Vertical Federated Learning (VFL)2026.05 | 11.1 | 0 |