Privacy-Preserving Federated Recurrent Neural Networks

We present RHODE, a novel system that enables privacy-preserving training of and prediction on Recurrent Neural Networks (RNNs) in a cross-silo federated learning setting by relying on multiparty homomorphic encryption. RHODE preserves the confidentiality of the training data, the model, and the pre...

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Bibliographische Detailangaben

Hauptverfasser:	Sav, Sinem, Diaa, Abdulrahman, Pyrgelis, Apostolos, Bossuat, Jean-Philippe, Hubaux, Jean-Pierre
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Cryptography and Security
Online-Zugang:	Volltext bestellen
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