Table 4 Performance comparison via CNN networks.

From: Based on model randomization and adaptive defense for federated learning schemes

Dataset

MNIST

CIFAR-10

Fashion-MNIST

Number of DCA

\(N_p\)=5

\(N_p\)=10

\(N_p\)=15

\(N_p\)=5

\(N_p\)=10

\(N_p\)=15

\(N_p\)=5

\(N_p\)=10

\(N_p\)=15

Krum47

85.1%

84.6%

81.5%

30.4%

28.5%

27.2%

68.3%

67.6%

65.3%

Trimmed mean47

75.7%

70.9%

66.8%

26.5%

25.3%

25.6%

62.2%

60.0%

57.6%

Median47

68.3%

65.2%

63.9%

27.3%

24.5%

22.3%

60.3%

59.3%

58.2%

HSFL

87.3%

82.3%

79.1%

31.2%

27.5%

26.5%

75.4%

73.2%

69.0%

DPRLDS48

88.3%

85.6%

85.0%

30.2%

30.5%

29.3%

69.2%

69.2%

68.3%

RMCS49

87.3%

84.6%

83.0%

29.2%

28.5%

28.3%

69.2%

68.9%

66.3%

PPHSFL

89.2%

87.3%

86.6%

33.1%

32.1%

32.5%

72.1%

69.3%

68.7%

Improve\(\uparrow\)

1.9%

2.7%

3.6%

3.9%

4.1%

4.2%

2.9%

1.4%

2.4%

  1. Significant values are given in bold.