Cardiovascular risk prediction dataset N=30,000
92AccuracyFedCVR
Evaluation Results
| Method | Links | ||||
|---|---|---|---|---|---|
| FedCVRType=Adaptive, Differential Privacy (epsilon)=≈ 13.42026.02 | 92 | 78 | 0.96 | — | |
| FedYogiType=Adaptive, Differential Privacy (epsilon)=≈ 13.42026.02 | 91 | 76 | 0.94 | 0.014 | |
| FedAdagradType=Adaptive, Differential Privacy (epsilon)=≈ 13.42026.02 | 89 | 72 | 0.92 | 0.001 | |
| FedClusterType=Clustering, Differential Privacy (epsilon)=≈ 13.42026.02 | 88 | 70 | 0.91 | 0.001 | |
| FedProxType=Regularization, Differential Privacy (epsilon)=≈ 13.42026.02 | 87 | 68 | 0.9 | 0.001 | |
| FedAvgType=Baseline, Differential Privacy (epsilon)=≈ 13.42026.02 | 85 | 65 | 0.88 | 0.001 |