Uplift Modeling on meps
0.75AUROCHybrid
Evaluation Results
| Method | Links | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| HybridTraining Mode=Hybrid FL+SL2026.02 | 0.75 | -0.09 | -0.09 | 10.01 | -0.11 | 80.8 | 10 | 0.49 | |
| Hybrid+Pers.Training Mode=Hybrid FL+SL, Component=personalization adapter2026.02 | 0.73 | -0.1 | -0.09 | 10.01 | -0.14 | 56.56 | 7 | 0.52 | |
| Hybrid+Def.Training Mode=Hybrid FL+SL, Defense=clipping + Gaussian noise2026.02 | 0.67 | -0.12 | -0.09 | 10.01 | -0.15 | 32.32 | 4 | 0.52 | |
| FedAvgTraining Mode=Federated Learning2026.02 | 0.66 | -0.07 | -0.09 | 10.01 | -0.11 | 0.85 | 4 | — | |
| CentralizedTraining Mode=Pooled2026.02 | 0.64 | -0.07 | -0.09 | 10.01 | -0.1 | 0 | 5 | — | |
| SplitTraining Mode=Split Learning2026.02 | 0.62 | -0.11 | -0.09 | 10.01 | -0.14 | 32.16 | 4 | 0.51 |