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Table 2 Evaluation performance of PFL and the baseline

From: Learning domain-heterogeneous speaker recognition systems with personalized continual federated learning

Evaluation

Canonical model [9, 10]

Centralized training [14]

Separated training [26]

PFL (Ours)

Groups

 

(Assembling fine-tuning)

(Individual fine-tuning)

Type-A

 

EER

EER

EER

EER

G1

2.85

9.664

13.712

4.978

G2

33.06

17.333

31.022

14.36

G3

4.81

10.627

14.174

6.864

G4

39.23

21.189

27.652

19.961

G5

5.51

10.351

17.977

6.274

G6

37.80

18.679

27.662

17.168

G7

16.25

18.86

24.728

15.412

G8

41.29

24.032

38.723

24.324

G9

20.61

18.975

30.294

16.554

G10

37.61

25.046

34.309

23.73

G11

24.45

19.419

33.983

16.779

G12

37.10

24.071

33.149

22.336

mean(\(\mu\))

25.0475

17.44

28.87

15.01

  1. Best performances are highlighted