Private Collaborative Edge Inference via Over-the-Air Computation
We consider collaborative inference at the wireless edge, where each client’s model is trained independently on its local dataset. Clients are queried in parallel to make an accurate decision collaboratively. In addition to maximizing the inference accuracy, we also want to ensure the privacy...
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| Autores principales: | , , , |
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| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
IEEE
2025-01-01
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| Colección: | IEEE Transactions on Machine Learning in Communications and Networking |
| Materias: | |
| Acceso en línea: | https://ieeexplore.ieee.org/document/10829586/ |
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