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Table 21 Blind FL results (accuracy-based weights)—adult 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%

69%

0.9444

0.9444

0.9600

0.9600

2

20%

78%

0.8611

0.9444

0.8965

0.9333

3

20%

86%

0.8888

0.9444

0.9354

0.9393

4

20%

78%

0.9166

1.0000

0.9032

1.0000

5

20%

69%

0.9166

0.9444

1.0000

0.9565

Avg.

0.9055

0.9555

0.9390

0.9578

1

13%

63%

0.4565

0.4565

1.0000

1.0000

2

30%

80%

0.3043

0.3478

1.0000

1.0000

3

21%

87%

0.2564

0.2692

0.9231

1.0000

4

11%

61%

0.5581

0.5581

1.0000

1.0000

5

24%

81%

0.2353

0.2843

0.8462

0.8667

Avg.

0.3621

0.3832

0.9538

0.9733

1

4%

75%

0.3750

0.3750

1.0000

1.0000

2

5%

68%

0.3684

0.4210

1.0000

0.5000

3

45%

77%

0.3619

0.3987

0.8055

0.8750

4

13%

51%

0.5000

0.5000

0.0000

0.0000

5

32%

85%

0.2649

0.2905

0.9333

0.8181

Avg.

0.3740

0.3970

0.7478

0.6386

1

1%

25%

0.3333

0.3333

0.0000

0.0000

2

5%

72%

0.3500

0.3500

1.0000

1.0000

3

45%

78%

0.2919

0.3478

0.7727

0.9411

4

14%

53%

0.5714

0.5918

0.8571

0.6000

5

35%

89%

0.2380

0.2380

1.0000

1.0000

Avg.

0.3569

0.3722

0.7259

0.7082

  1. Bold values indicate the best results