Skip to main content

Table 11 Blind FL results (Precision-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%

0.7273

0.9091

0.3333

0.6000

2

20%

26%

0.8261

0.9130

0.6250

0.8333

3

20%

35%

0.7826

0.8696

0.6364

0.7778

4

20%

13%

0.8696

0.9130

0.5000

0.5000

5

20%

26%

0.9696

0.9565

0.6667

0.8571

Avg.

0.8150

0.9123

0.5523

0.7137

1

19%

24%

0.9318

0.9545

1.0000

0.8889

2

26%

35%

0.8667

0.8833

0.8421

0.8889

3

16%

42%

0.8889

0.8889

1.0000

1.0000

4

15%

20%

0.8824

0.8824

0.6364

0.6364

5

24%

47%

0.8727

0.8727

0.9524

0.9524

Avg.

0.8885

0.8964

0.8862

0.8733

1

5%

27%

0.6667

0.7500

0.4000

0.5000

2

4%

43%

0.8000

0.8000

1.0000

1.0000

3

42%

35%

0.9583

0.9688

1.0000

0.9091

4

20%

23%

0.9778

0.9778

0.9091

0.9091

5

29%

49%

0.7576

0.7879

0.9474

1.0000

Avg.

0.8321

0.8569

0.8513

0.8636

1

3%

20%

0.8333

0.8333

0.5000

0.5000

2

4%

36%

0.7000

0.8000

1.0000

1.0000

3

45%

40%

0.9423

0.9423

0.9500

0.9487

4

21%

17%

0.8958

0.9167

0.6364

0.5833

5

26%

49%

0.8689

0.8689

0.9600

0.9565

Avg.

0.8481

0.8722

0.8093

0.7977

  1. Bold values indicate the best results