Federated Data-level Unlearning on CIFAR-10 Resnet-18 (test)
80Pretrain Accuracyf-FUM (KL-KL)
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| f-FUM (KL-KL)N (Number of clients)=5, Removed (%)=2, divergence=KL-KL2026.02 | 80 | 78.68 | 58.55 | |
| f-FUM (KL-JS)N (Number of clients)=5, Removed (%)=2, divergence=KL-JS2026.02 | 80 | 77.5 | 59 | |
| f-FUM (KL-chi^2)N (Number of clients)=5, Removed (%)=2, divergence=KL-chi^22026.02 | 80 | 77.66 | 60.44 | |
| NoTN (Number of clients)=5, Removed (%)=22026.02 | 80 | 72.78 | 50 | |
| HalimiN (Number of clients)=5, Removed (%)=22026.02 | 80 | 77.98 | 61.88 | |
| f-FUM (KL-KL)N (Number of clients)=10, Removed (%)=2, divergence=KL-KL2026.02 | 79 | 78.38 | 60.77 | |
| f-FUM (KL-JS)N (Number of clients)=10, Removed (%)=2, divergence=KL-JS2026.02 | 79 | 78.32 | 58.44 | |
| f-FUM (KL-chi^2)N (Number of clients)=10, Removed (%)=2, divergence=KL-chi^22026.02 | 79 | 78.12 | 60.56 | |
| NoTN (Number of clients)=10, Removed (%)=22026.02 | 79 | 73.3 | 49.66 | |
| HalimiN (Number of clients)=10, Removed (%)=22026.02 | 79 | 79.02 | 59.33 |