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Author

Ons Aouedi

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Open access Aug 2026

FedQoS: Federated QoS-Risk Learning for Heterogeneous Indoor-Outdoor Access Selection

Simulation results show that learning-based access selection substantially reduces the QoS-failure rate compared with signal-based and historical-QoS heuristic methods, and demonstrate the potential of federated QoS-risk learning for reliable, data-local access selection in dynamic wireless environments.

Thieu Van Nguyen, T. Nguyen, Ons Aouedi et al. · 0 citations
Preprint Aug 2026

Resilient Decentralized Wireless Federated Learning via Gradient Tracking with AdamW

Experimental results on heterogeneous MNIST and CIFAR-10 settings show that QEF-GT-AdamW consistently improves robustness and convergence performance over representative DecL baselines while achieving favorable accuracy-communication trade-offs under limited wireless resources.

Thieu Van Nguyen, T. Nguyen, Ons Aouedi et al. · 0 citations

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