Federated Recommendation and Attribute Unlearning on ML-1M Gender attribute 1.0 (leave-one-out)
0.6896HR@10Original
Evaluation Results
| Method | Links | ||||
|---|---|---|---|---|---|
| OriginalBackbone=FedVAE2025.11 | 0.6896 | 0.4169 | 71.89 | 72.04 | |
| FedAU2Backbone=FedVAE2025.11 | 0.6697 | 0.3994 | 41.91 | 55.36 | |
| OriginalBackbone=FedNCF2025.11 | 0.6662 | 0.3897 | 70.24 | 70.32 | |
| FedAU2Backbone=FedNCF2025.11 | 0.6232 | 0.3519 | 51.76 | 51.36 | |
| APMBackbone=FedNCF2025.11 | 0.553 | 0.3079 | 61.62 | 61.79 | |
| APMBackbone=FedVAE2025.11 | 0.5366 | 0.3005 | 66.54 | 66.66 | |
| FedAU2Backbone=FedRAP2025.11 | 0.4429 | 0.2437 | 62.85 | 62.83 | |
| OriginalBackbone=FedRAP2025.11 | 0.4365 | 0.2381 | 70.69 | 70.89 | |
| APMBackbone=FedRAP2025.11 | 0.4114 | 0.2268 | 65.75 | 66.21 |