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Federated Learning with Feature Space Separation for Speaker Recognition

FedFSS

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Training

python train_fed_anchor_lama_gamma.py

Environment

torch 1.12.1; torchaudio 0.12.1; torchvision 0.13.1
pip install soundfile, tqdm, matplotlib, Pillow, scikit-learn, numpy

Result

Training on Vox1

Method Client1 Client2 Client3 Client4
baseline 6.45 6.79 6.29 6.99
Fedavg 4.86 4.94 4.98 5.62
FedFSS 4.72 4.65 4.57 5.07

Citation

@inproceedings{meng25_interspeech,
  title     = {{Federated Learning with Feature Space Separation for Speaker Recognition}},
  author    = {Ying Meng and Zhihua Fang and Liang He},
  year      = {2025},
  booktitle = {{Interspeech 2025}},
  pages     = {1518--1522},
  doi       = {10.21437/Interspeech.2025-364},
  issn      = {2958-1796},
}

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[INTERSPEECH 2025] Federated Learning with Feature Space Separation for Speaker Recognition

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