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Table 25 Blind FL results (Precision-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%

67%

0.9444

0.9444

0.9230

0.9166

2

20%

61%

0.8611

0.8888

0.8400

0.7777

3

20%

72%

0.8055

0.8888

0.7878

0.8666

4

20%

78%

0.9722

0.9722

1.0000

0.9642

5

20%

72%

0.8611

0.9444

0.9200

0.9259

Avg.

0.8889

0.9278

0.8941

0.8902

1

13%

63%

0.5217

0.5217

1.0000

1.0000

2

30%

80%

0.3260

0.3478

0.9231

1.0000

3

21%

87%

0.2179

0.2948

1.0000

1.0000

4

11%

61%

0.6046

0.6046

1.0000

1.0000

5

24%

81%

0.3823

0.3921

0.9000

0.8947

Avg.

0.4106

0.4322

0.9646

0.9789

1

4%

75%

0.3125

0.3125

1.0000

1.0000

2

5%

68%

0.3157

0.3684

0.5000

1.0000

3

45%

77%

0.4171

0.4355

0.9428

0.8750

4

13%

51%

0.5434

0.6086

1.0000

1.0000

5

32%

85%

0.2905

0.3418

0.8636

0.8500

Avg.

-–

0.3759

0.4134

0.8612

0.9450

1

1%

25%

0.1666

0.3333

0.0000

0.2500

2

5%

72%

0.3500

0.4000

1.0000

1.0000

3

45%

78%

0.3416

0.3726

0.9166

0.8947

4

14%

53%

0.5510

0.5918

0.7000

0.5000

5

35%

89%

0.2222

0.2301

1.0000

1.0000

Avg.

0.3263

0.3855

0.7233

0.7289

  1. Bold values indicate the best results