Skip to main content

Table 7 Blind FL results (accuracy-based weights)—Breast Cancer dataset

From: Blind Federated Learning without initial model

Agent

Size

% 1s

Accuracy

Accuracy

Precision

Precision

Pre-FL

Post-FL

Pre-FL

Post-FL

1

20%

14%

0.7727

0.9091

0.3750

0.6000

2

20%

26%

0.9565

0.9565

0.8571

0.8333

3

20%

35%

0.8696

0.8696

0.7778

0.7000

4

20%

13%

0.8261

0.8696

0.4286

0.5000

5

20%

26%

1.0000

1.0000

1.0000

0.8571

Avg.

0.8859

0.9209

0.6877

0.6981

1

19%

24%

0.9318

0.9545

0.8182

0.8889

2

26%

35%

0.8500

0.8667

0.8750

0.8824

3

16%

42%

0.8611

0.8889

0.9444

1.0000

4

15%

20%

0.9118

0.9412

0.7500

0.5833

5

24%

47%

0.8909

0.8909

0.9545

0.9500

Avg.

0.8891

0.9084

0.8684

0.8609

1

5%

27%

0.7500

0.7500

0.5000

0.5000

2

4%

43%

0.7000

0.8000

1.0000

1.0000

3

42%

35%

0.9375

0.9375

0.9375

0.8824

4

20%

23%

0.9778

0.9778

0.9091

0.9091

5

29%

49%

0.7273

0.7576

0.8571

0.9048

Avg.

0.8185

0.8446

0.8407

0.8392

1

3%

20%

0.8333

0.8333

0.5000

0.5000

2

4%

36%

0.8000

0.9000

1.0000

1.0000

3

45%

40%

0.9423

0.9423

0.9500

0.9487

4

21%

17%

0.9167

0.9167

0.7000

0.6364

5

26%

49%

0.8689

0.8689

1.0000

1.0000

Avg.

0.8722

0.8922

0.8300

0.8170

  1. Bold values indicate the best results