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Table 5 Blended Blind FL results (constant 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%

0.6818

0.9091

0.3000

0.6000

2

20%

26%

0.9130

0.9130

0.8333

0.8333

3

20%

35%

0.8696

0.8696

0.7778

0.7778

4

20%

13%

0.9130

0.9565

0.6667

0.5000

5

20%

26%

0.9565

1.0000

0.8571

1.0000

Avg.

0.8668

0.9296

0.6870

0.7422

1

19%

24%

0.9091

0.9318

0.8750

0.8889

2

26%

35%

0.8667

0.9000

0.8421

0.8889

3

16%

42%

0.8611

0.8611

1.0000

1.0000

4

15%

20%

0.8824

0.8824

0.6364

0.6364

5

24%

47%

0.8364

0.8728

0.9474

0.9524

Avg.

0.8711

0.8896

0.8602

0.8733

1

5%

27%

0.6667

0.7500

0.4000

0.5000

2

4%

43%

0.7000

0.7000

1.0000

1.0000

3

42%

35%

0.9479

0.9479

0.9394

0.8824

4

20%

23%

0.9778

0.9778

0.9091

0.9091

5

29%

49%

0.7576

0.7576

0.9048

0.9048

Avg.

0.8100

0.8267

0.8306

0.8392

1

3%

20%

0.8333

0.8333

0.5000

0.5000

2

4%

36%

0.8000

0.8000

1.0000

1.0000

3

45%

40%

0.9519

0.9519

0.9744

0.9500

4

21%

17%

0.8750

0.8958

0.5833

0.6364

5

26%

49%

0.8033

0.8689

0.9130

0.9583

Avg.

0.8527

0.8700

0.7941

0.8089

  1. Bold values indicate the best results