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Table 3 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%

0.7727

0.9091

0.3750

0.6000

2

20%

26%

0.8696

0.9130

0.7143

0.8333

3

20%

35%

0.6957

0.8261

0.5385

0.7000

4

20%

13%

0.9130

0.9565

0.6667

0.5000

5

20%

26%

0.9565

0.9565

0.8571

0.8571

Avg.

0.8415

0.9123

0.6303

0.6981

1

19%

24%

0.9091

0.9318

0.8750

0.8889

2

26%

35%

0.8667

0.8833

0.8421

0.8889

3

16%

42%

0.8333

0.8611

1.0000

1.0000

4

15%

20%

0.8824

0.9118

0.6364

0.6364

5

24%

47%

0.8545

0.8727

0.9500

0.9524

Avg.

0.8692

0.8922

0.8607

0.8733

1

5%

27%

0.7500

0.7500

0.5000

0.5000

2

4%

43%

0.8000

0.8000

1.000

1.0000

3

42%

35%

0.9167

0.9271

0.9063

0.8824

4

20%

23%

0.9778

0.9778

0.9091

0.9091

5

29%

49%

0.7727

0.7727

0.9500

0.9048

Avg.

0.8434

0.8455

0.8531

0.8392

1

3%

20%

1.0000

1.0000

1.0000

0.5000

2

4%

36%

0.8000

0.8000

1.0000

1.0000

3

45%

40%

0.9327

0.9423

0.9268

0.9474

4

21%

17%

0.8542

0.8958

0.5454

0.6364

5

26%

49%

0.8361

0.8689

0.8889

0.9583

Avg.

0.8846

0.9014

0.8722

0.8084

  1. Bold values indicate the best results