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Wasserstein Distance-Based Deep Leakage from Gradients

Federated learning protects the privacy information in the data set by sharing the average gradient. However, “Deep Leakage from Gradient” (DLG) algorithm as a gradient-based feature reconstruction attack can recover privacy training data using gradients shared in federated learning, resulting in pr...

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Détails bibliographiques
Auteurs principaux: Zifan Wang, Changgen Peng, Xing He, Weijie Tan
Format: Artigo
Langue:Inglês
Publié: MDPI AG 2023-05-01
Collection:Entropy
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Accès en ligne:https://www.mdpi.com/1099-4300/25/5/810
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