Research map / Federated learning and privacy / Personalized and heterogeneous FL
Federated Learning of User Verification Models Without Sharing Embeddings
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use FedUV instead of FedAwS | User verification · VoxCeleb, CelebA, MNIST-UV | verification performance | No clear effect |
| Use softmax training instead of FedUV | User verification · VoxCeleb, CelebA, MNIST-UV | verification performance | Helped |
| Increase FedUV code length (ablation) | FedUV · VoxCeleb, CelebA, MNIST-UV | verification performance | Helped |
| Add the negative loss term (ablation) | FedUV · MNIST-UV | accuracy | Mixed |
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