1 citations · 1 across the 2 of their papers we have counts for
7 papers
Air-Plan: Query-Optimized Topology Selection for Over-the-Air Decentralized Federated Learning
Kaushal Attaluri, Rebeca P. Diaz-Redondo, Manuel Fernandez Veiga
Over-the-air (OTA) aggregation exploits the superposition property of wireless multiple-access channels to aggregate model updates from multiple devices within a single transmissio…
Purification Strategy Optimization for Entanglement Routing in Quantum Networks
Javier Vecino Peñas, Ana Fernández-Vilas, Rebeca P. Díaz-Redondo +2
Quantum networks rely on the efficient distribution of entanglement to enable long-distance quantum communication and information processing. A key challenge in these networks is t…
Decentralized Orchestration Architecture for Fluid Computing: A Secure Distributed AI Use Case
Diego Cajaraville-Aboy, Ana Fernández-Vilas, Rebeca P. Díaz-Redondo +2
Distributed AI and IoT applications increasingly execute across heterogeneous resources spanning end devices, edge/fog infrastructure, and cloud platforms, often under different ad…
Realistic Urban Traffic Generator using Decentralized Federated Learning for the SUMO simulator
Alberto Bazán-Guillén, Carlos Beis-Penedo, Diego Cajaraville-Aboy +6
Realistic urban traffic simulation is essential for sustainable urban planning and the development of intelligent transportation systems. However, generating high-fidelity, time-va…
CO-DEFEND: Continuous Decentralized Federated Learning for Secure DoH-Based Threat Detection
Diego Cajaraville-Aboy, Marta Moure-Garrido, Carlos Beis-Penedo +5
The use of DNS over HTTPS (DoH) tunneling by an attacker to hide malicious activity within encrypted DNS traffic poses a serious threat to network security, as it allows malicious…
Overcoming Catastrophic Forgetting in Tabular Data Classification: A Pseudorehearsal-based approach
Pablo García-Santaclara, Bruno Fernández-Castro, Rebeca P. Díaz-Redondo
Continual learning (CL) poses the important challenge of adapting to evolving data distributions without forgetting previously acquired knowledge while consolidating new knowledge.…