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AlsharifHasan Mohamad Aburbeian

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#federated learning Open access Sep 2026

Understanding Differential Privacy in Decentralized Federated Learning: A Controlled Privacy–Utility Comparison

Results show that clipping, perturbation, and the learning procedure jointly influence the observed privacy–utility behavior of centralized FL and sequential Decentralized Federated Learning.

AlsharifHasan Mohamad Aburbeian, M. Fernández-Veiga, A. Fernández-Vilas et al. · 0 citations

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