Table 10 Performance results on BUSI with proposed Ensembled FedL YOLOv6.

From: Applying YOLOv6 as an ensemble federated learning framework to classify breast cancer pathology images

Epochs

Ac

L

VA

VL

1

82.43

47.21

74.53

46.89

10

83.78

41.64

78.88

44.65

20

83.95

38.78

83.52

38.35

30

85.23

37.27

84.89

37.56

40

85.91

32.87

84.08

36.67

50

86.26

29.67

86.33

33.67

60

88.54

25.57

86.68

29.60

70

94.15

21.67

88.25

25.67

80

95.78

17.89

90.34

24.58

90

96.88

11.89

93.46

17.71

100

97.53

9.87

94.66

12.56

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