Table 4 Results comparison of federated learning (FL) methods under Sybil and collision attacks.
Dataset | Methods | Accuracy (%) | Loss (%) | ||
|---|---|---|---|---|---|
Sybil | Collision | Sybil | Collision | ||
Heart disease | FedAvg | 83.11 | 82.54 | 16.89 | 17.46 |
FL-MPC | 85.24 | 83.46 | 14.76 | 16.54 | |
FL-RAEC | 87.88 | 85.69 | 12.12 | 14.31 | |
PEFL | 90.25 | 87.38 | 9.75 | 12.62 | |
PPBEFL | 93.39 | 89.57 | 6.61 | 10.43 | |
PPFBXAIO | 94.93 | 91.28 | 5.07 | 8.72 | |
PPFILB-OXAI | 96.46 | 93.67 | 3.54 | 6.33 | |
Breast cancer wisconsin | FedAvg | 82.62 | 81.41 | 17.38 | 18.59 |
FL-MPC | 84.47 | 83.66 | 15.53 | 16.34 | |
FL-RAEC | 86.78 | 85.83 | 13.22 | 14.17 | |
PEFL | 89.09 | 87.56 | 10.91 | 12.44 | |
PPBEFL | 92.94 | 90.18 | 7.06 | 9.82 | |
PPFBXAIO | 94.17 | 91.61 | 5.83 | 8.39 | |
PPFILB-OXAI | 96.36 | 93.75 | 3.64 | 6.25 | |
