Federated Recommendation and Attribute Unlearning on ML-100K Age attribute 1.0 (leave-one-out)
67.03HR@10Original
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| OriginalBackbone=FedVAE2025.11 | 67.03 | 39.1 | 39.56 | 41.79 | |
| OriginalBackbone=FedNCF2025.11 | 63.92 | 36.34 | 45.9 | 47.39 | |
| FedAU2Backbone=FedVAE2025.11 | 63.92 | 36.26 | 21.05 | 34.31 | |
| FedAU2Backbone=FedNCF2025.11 | 59.16 | 32.47 | 35.56 | 36.23 | |
| APMBackbone=FedNCF2025.11 | 54.95 | 30.83 | 39.15 | 39.45 | |
| APMBackbone=FedVAE2025.11 | 51.83 | 29.38 | 33.62 | 38.43 | |
| OriginalBackbone=FedRAP2025.11 | 44.14 | 23.85 | 41.85 | 42.5 | |
| FedAU2Backbone=FedRAP2025.11 | 43.22 | 24.52 | 36.01 | 37.06 | |
| APMBackbone=FedRAP2025.11 | 41.21 | 22.49 | 37.93 | 38.44 |