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

Centralized Federated Learning (FL) enables collaborative model training without sharing raw data. Differential privacy (DP) is widely used to protect sensitive information in FL; however, its behavior in decentralized environments remains poorly understood. This study empirically compares centralized FL and sequential...

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