Table 22 Comparison with state-of-the-art federated healthcare models.

From: Health-FedNet: secure federated learning for chronic disease prediction on MIMIC-III with differential privacy and homomorphic encryption

Model (Year)

Dataset

Accuracy (%)

Privacy budget (ε)

Membership inference attack success ↓

Notes

Cross-stage recurrent FL Model35

Diabetes (MIMIC-III)

88

6.0

22%

Recurrent DP-FL

CNN + Logistic regression36

CKD (ICISS)

85

N/A

N/A

Hybrid centralized ML

Federated healthcare benchmarking study37

eICU & ICU Waveform

86

4.5

18%

DP + FL evaluation

IoMT Encryption-authentication model50

IoMT Networks

83

N/A

N/A

Secure OAuth + Encryption

Health-FedNet (Proposed)

MIMIC-III

92

1.53

5.7%

DP + HE + Adaptive Weighting

  1. Significant values are in bold.