Author

Ana Fernández-Vilas

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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. · Future Internet · 0 citations

Jul 2026

Coded Task Offloading for Fluid Computing: A Privacy-Aware Approach under D2D Networks

This paper forms a privacy-aware offloading problem that jointly optimizes delay and energy while penalizing the theoretical privacy leakage of coded tasks under noisy leakage observations, and proposes a coded task offloading scheme for D2D networks under stochastic task arrivals and queue-based dynamics.

Diego Cajaraville-Aboy, M. Fernández-Veiga, A. Fernández-Vilas et al. · arXiv.org · 0 citations