ExclaveFL: Providing Transparency to Federated Learning using Exclaves

In federated learning (FL), data providers jointly train a model without disclosing their training data. Despite its privacy benefits, a malicious data provider can simply deviate from the correct training protocol without being detected, thus attacking the trained model. While current solutions hav...

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Hauptverfasser:	Guo, Jinnan, Vaswani, Kapil, Paverd, Andrew, Pietzuch, Peter
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Cryptography and Security Computer Science - Distributed, Parallel, and Cluster Computing Computer Science - Learning
Online-Zugang:	Volltext bestellen
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