A federated, differentially private conditional VAE trained on foundation-model embeddings lets hospitals share synthetic data that supports downstream classification better than standard federated classifiers.
In: 2023 IEEE Wireless Communications and Networking Conference (WCNC)
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Embedding-Based Federated Data Sharing via Differentially Private Conditional VAEs
A federated, differentially private conditional VAE trained on foundation-model embeddings lets hospitals share synthetic data that supports downstream classification better than standard federated classifiers.