Federated Unlearning on CIFAR-10 ResNet-18
58.54Pretrain Accuracyf-FUM (KL-KL)
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| f-FUM (KL-KL)N=5, Removed (%)=2%, Backbone=ResNet-182026.02 | 58.54 | 66.64 | |
| f-FUM (KL-JS)N=5, Removed (%)=2%, Backbone=ResNet-182026.02 | 58.54 | 74.5 | |
| f-FUM (KL-χ2)N=5, Removed (%)=2%, Backbone=ResNet-182026.02 | 58.54 | 67.26 | |
| NoTN=5, Removed (%)=2%, Backbone=ResNet-182026.02 | 58.54 | 68 | |
| HalimiN=5, Removed (%)=2%, Backbone=ResNet-182026.02 | 58.54 | 68 | |
| f-FUM (KL-KL)N=10, Removed (%)=2%, Backbone=ResNet-182026.02 | 53.38 | 68.62 | |
| f-FUM (KL-JS)N=10, Removed (%)=2%, Backbone=ResNet-182026.02 | 53.38 | 73.4 | |
| f-FUM (KL-χ2)N=10, Removed (%)=2%, Backbone=ResNet-182026.02 | 53.38 | 57.86 | |
| NoTN=10, Removed (%)=2%, Backbone=ResNet-182026.02 | 53.38 | 62 | |
| HalimiN=10, Removed (%)=2%, Backbone=ResNet-182026.02 | 53.38 | 62 |