17 citations · 93 across the 22 of their papers we have counts for
24 papers
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…
Verifiable Split Learning via zk-SNARKs
Rana Alaa, Darío González-Ferreiro, Carlos Beis-Penedo +3
Split learning is an approach to collaborative learning in which a deep neural network is divided into two parts: client-side and server-side at a cut layer. The client side execut…
Hybrid Quantum Security for IPsec
Javier Blanco-Romero, Pedro Otero García, Daniel Sobral-Blanco +3
Quantum Key Distribution (QKD) offers information-theoretic security against quantum computing threats, but integrating QKD into existing security protocols remains an unsolved cha…
HLF-FSL. A Decentralized Federated Split Learning Solution for IoT on Hyperledger Fabric
Carlos Beis Penedo, Rebeca P. Díaz Redondo, Ana Fernández Vilas +2
Collaborative machine learning in sensitive domains demands scalable, privacy preserving solutions for enterprise deployment. Conventional Federated Learning (FL) relies on a centr…
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…