Federated Unlearning on CIFAR-10 (val)
63.64Pretrain Accuracyf-FUM (KL-KL)
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| f-FUM (KL-KL)N=10, Backbone=Resnet-18, Unlearning Scenario=Client-level (80% backdoored data removed)2026.02 | 63.64 | 71.84 | |
| f-FUM (KL-JS)N=10, Backbone=Resnet-18, Unlearning Scenario=Client-level (80% backdoored data removed)2026.02 | 63.64 | 72.9 | |
| f-FUM (KL-χ2)N=10, Backbone=Resnet-18, Unlearning Scenario=Client-level (80% backdoored data removed)2026.02 | 63.64 | 72.92 | |
| NoTN=10, Backbone=Resnet-18, Unlearning Scenario=Client-level (80% backdoored data removed)2026.02 | 63.64 | 67 | |
| HalimiN=10, Backbone=Resnet-18, Unlearning Scenario=Client-level (80% backdoored data removed)2026.02 | 63.64 | 72.56 | |
| MoDEN=10, Backbone=Resnet-18, Unlearning Scenario=Client-level (80% backdoored data removed)2026.02 | 63.64 | 70.96 | |
| f-FUM (KL-KL)N=5, Backbone=Resnet-18, Unlearning Scenario=Client-level (80% backdoored data removed)2026.02 | 52.22 | 68.26 | |
| f-FUM (KL-JS)N=5, Backbone=Resnet-18, Unlearning Scenario=Client-level (80% backdoored data removed)2026.02 | 52.22 | 77.5 | |
| f-FUM (KL-χ2)N=5, Backbone=Resnet-18, Unlearning Scenario=Client-level (80% backdoored data removed)2026.02 | 52.22 | 77.22 | |
| NoTN=5, Backbone=Resnet-18, Unlearning Scenario=Client-level (80% backdoored data removed)2026.02 | 52.22 | 68.26 | |
| HalimiN=5, Backbone=Resnet-18, Unlearning Scenario=Client-level (80% backdoored data removed)2026.02 | 52.22 | 66.76 | |
| MoDEN=5, Backbone=Resnet-18, Unlearning Scenario=Client-level (80% backdoored data removed)2026.02 | 52.22 | 65.44 |