Table 22 Comparison with state-of-the-art federated healthcare models.
Model (Year) | Dataset | Accuracy (%) | Privacy budget (ε) | Membership inference attack success ā | Notes |
|---|---|---|---|---|---|
Cross-stage recurrent FL Model35 | Diabetes (MIMIC-III) | 88 | 6.0 | 22% | Recurrent DP-FL |
CNNā+āLogistic regression36 | CKD (ICISS) | 85 | N/A | N/A | Hybrid centralized ML |
Federated healthcare benchmarking study37 | eICU & ICU Waveform | 86 | 4.5 | 18% | DPā+āFL evaluation |
IoMT Encryption-authentication model50 | IoMT Networks | 83 | N/A | N/A | Secure OAuthā+āEncryption |
Health-FedNet (Proposed) | MIMIC-III | 92 | 1.53 | 5.7% | DPā+āHEā+āAdaptive Weighting |