Federated Unlearning on Fashion-MNIST MINILENET
49.07Pretrain Accuracyf-FUM (KL-KL)
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| f-FUM (KL-KL)N=10, Removed (%)=2%, Backbone=MINILENET2026.02 | 49.07 | 69.7 | |
| f-FUM (KL-JS)N=10, Removed (%)=2%, Backbone=MINILENET2026.02 | 49.07 | 76.7 | |
| f-FUM (KL-χ2)N=10, Removed (%)=2%, Backbone=MINILENET2026.02 | 49.07 | 61.1 | |
| NoTN=10, Removed (%)=2%, Backbone=MINILENET2026.02 | 49.07 | 12.37 | |
| HalimiN=10, Removed (%)=2%, Backbone=MINILENET2026.02 | 49.07 | 79.53 | |
| f-FUM (KL-KL)N=5, Removed (%)=2%, Backbone=MINILENET2026.02 | 45.42 | 71.58 | |
| f-FUM (KL-JS)N=5, Removed (%)=2%, Backbone=MINILENET2026.02 | 45.42 | 77.95 | |
| f-FUM (KL-χ2)N=5, Removed (%)=2%, Backbone=MINILENET2026.02 | 45.42 | 48.17 | |
| NoTN=5, Removed (%)=2%, Backbone=MINILENET2026.02 | 45.42 | 52.82 | |
| HalimiN=5, Removed (%)=2%, Backbone=MINILENET2026.02 | 45.42 | 71.22 |