Uplift Modeling on nhanes
0.78AUROCHybrid+Pers.
Evaluation Results
| Method | Links | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| Hybrid+Pers.Training Mode=Hybrid FL+SL, Component=personalization adapter2026.02 | 0.78 | 0.09 | 0.02 | 9.99 | 0.08 | 55.48 | 10 | 0.5 | |
| FedAvgTraining Mode=Federated Learning2026.02 | 0.77 | 0.09 | 0.02 | 9.99 | 0.08 | 0.78 | 10 | — | |
| HybridTraining Mode=Hybrid FL+SL2026.02 | 0.76 | 0.08 | 0.02 | 9.99 | 0.07 | 33.29 | 6 | 0.48 | |
| Hybrid+Def.Training Mode=Hybrid FL+SL, Defense=clipping + Gaussian noise2026.02 | 0.76 | 0.08 | 0.02 | 9.99 | 0.07 | 55.48 | 10 | 0.5 | |
| CentralizedTraining Mode=Pooled2026.02 | 0.75 | 0.08 | 0.02 | 9.99 | 0.08 | 0 | 9 | — | |
| SplitTraining Mode=Split Learning2026.02 | 0.75 | 0.08 | 0.02 | 9.99 | 0.08 | 33.23 | 6 | 0.51 |