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Table 27 Blended 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%

72%

0.7777

0.8888

0.8214

0.8928

2

20%

72%

0.9166

0.9444

0.9600

1.0000

3

20%

81%

0.8888

0.9444

0.9629

1.0000

4

20%

69%

0.8611

0.9166

0.9166

0.9200

5

20%

83%

0.9166

0.9166

0.9354

0.9354

Avg.

0.8722

0.9222

0.9193

0.9497

1

13%

63%

0.4680

0.5106

0.5710

0.6667

2

30%

80%

0.3296

0.3296

1.0000

1.0000

3

21%

87%

0.2631

0.2894

1.0000

1.0000

4

11%

61%

0.5454

0.6136

0.6667

0.6000

5

24%

81%

0.3619

0.3619

1.0000

0.8000

Avg.

0.3936

0.4210

0.8476

0.8133

1

4%

75%

0.3888

0.3888

1.0000

1.0000

2

5%

68%

0.2380

0.2857

0.5000

0.0000

3

45%

77%

0.3293

0.3652

1.0000

0.7222

4

13%

51%

0.4772

0.5454

0.0000

0.5000

5

32%

85%

0.3214

0.3482

0.9333

0.8333

Avg.

0.3510

0.3867

0.6867

0.6111

1

1%

25%

0.6250

0.6250

0.0000

0.0000

2

5%

72%

0.4117

0.4705

0.7142

0.8000

3

45%

78%

0.3488

0.3604

0.8437

0.7222

4

14%

53%

0.5531

0.5531

0.6666

0.5000

5

35%

89%

0.1949

0.2372

1.0000

0.8750

Avg.

0.4267

0.4493

0.6449

0.5794

  1. Bold values indicate the best results