Research Results

D. Cajaraville-Aboy, A. Fernández-Vilas, R. P. Díaz-Redondo, M. Fernández-Veiga, P. Picallo-López,  “Decentralized Orchestration Architecture for Fluid Computing: A Secure Distributed AI Use Case”, in review at Computer Networks
DOI: [In Press]

X. M. Luaña, A. Gude, M. Fernández-Veiga, R. P. Díaz-Redondo, «Privacy-Preserving and Verifiable Approximate Distributed Coded Computing, in review at IEEE Trans. Dependable and Secure Computing, 2026.
DOI:  [In Press]

R. Alaa, D. González-Ferreiro, C. Beis-Penedo, M. Fernández-Veiga,  R. P. Díaz-Redondo, A. Fernández-Vilas, , F. Troncoso-Pastoriza, «Verifiable Split Learning via zk-SNARKs», 2026.
DOI: 2511.01356

F. Pérzez-González, R. López-Valcarce, “Analyzing the membership leakage of iterative linear regression in federated learning”, 2026
DOI: [In Press]

C. Beis-Penedo, R. P. Díaz-Redondo, A. Fernández-Vilas, M. Fernández-Veiga, F. Troncoso-Pastoriza, «HLF-FSL: A Decentralized Federated Split Learning Solution for IoT on Hyperledger Fabric», Array (Elsevier), 2026.
DOI: 10.1016/j.array.2026.100685

D. Cajaraville-Aboy, A. Fernández-Vilas, R. P. Díaz-Redondo, M. Fernández-Veiga, «Byzantine-Robust Aggregation for Securing Decentralized Federated Learning»,IEEE Access, 2025.
DOI: 10.1109/ACCESS.2025.3629864

D. Cajaraville-Aboy, M. Moure-Garrido, C. Beis-Penedo, C. García-Rubio,
R. P. Díaz-Redondo, C. Campo, M. Fernández-Veiga, «CO-DEFEND: Continuous Decentralized Federated Learning for Secure DoH-Based Threat Detection», Computer Networks, 2025.
DOI: 10.1016/j.comnet.2025.111961

A. A. Mostafa, F. Pérez-González, and M. Masciopinto, «Exploring the Pitfalls of Black Boxes in Media Forensics: A Case Study in Source Camera Identification»,IEEE Access, 2025.
DOI: 10.1109/ACCESS.2025.3563784

A. Bazán-Guillén, C. Beis-Penedo, D. Cajaraville-Aboy, P. Barbecho-Bautista, R. P. Díaz-Redondo, L. J. de la Cruz Llopis, A. Fernández-Vilas, M. Aguilar Igartua, M. Fernández-Veiga, «Realistic Urban Traffic Generator Using Decentralized Federated Learning for the SUMO Simulator»,IEEE Open Journal of the Communications Society (OJ-COMS), 2025.
DOI:  10.1109/OJCOMS.2025.3597019

X. M. Luaña, R. P. Díaz-Redondo, M. Fernández-Veiga, «Privacy-aware berrut approximated coded computing for federated learning, Journal of Network and Computer Applications (JNCA), 2025.
DOI:  10.1016/j.jnca.2025.104280

C. Beis-Penedo,  F. Troncoso-Pastoriza,  R. P. Díaz‐Redondo,  A. Fernández‐Vilas,  M. Fernández‐Veiga, “A Blockchain Solution for Decentralized Machine Learning for IoT”, Computer Communications, 2025.
DOI: 10.1016/j.comcom.2025.108289

X. M. Luaña, M. Fernández-Veiga, R. P. Díaz-Redondo, A.Fernández-Vilas,  «Privacy-aware Berrut Approximated Coded Computing applied to general distributed learning, arxiv Preprint  ,2025.
DOI: [In revision at Information Sciences]

I. Blanco-Chacón,  A. Pedrouzo-Ulloa,  R.  Yuh Njah, B. Barbero-Lucas, “Fast Polynomial Arithmetic in Homomorphic Encryption with Cyclo-Multiquadratic Fields”, Cryptography and Communications (Springer), 2025.
DOI:  10.1007/s12095-024-00771-6

S. Malta, P. Pinto, M. Fernández-Veiga,  «5G Network Slicing Optimization: DRL Approaches for eMBB, URLLC, and mMTC Coexistence, Journal of Network and Computer Applications, 2024.
DOI: 10.1016/j.jnca.2024.104068

T. Lestayo, M. Fernández-Veiga, «Source-Coded Multicast with Single and Aggregated Sources for Efficient Content Delivery», IEEE Open Journal of the Communications Society, 2024
DOI: 10.1109/OJCOMS.2024.3460422

E. Espozo, M. Fernández-Veiga, F. Troncoso-Pastoriza, «Generalized Hierarchical Coded Caching», Journal of Network and Computer Applications, 2024
DOI:  10.1016/j.jnca.2024.104027

A. Montibeller and F. Pérez-González, “An Adaptive Method for Camera Attribution Under Complex Radial Distortion Corrections”, IEEE Transactions on Information Forensics and Security , vol. 19, pp. 385-400, 2024. 5 
DOI: 10.1109/TIFS.2023.3318933

D. Cajaraville-Aboy, A. Fernández-Vilas, R. P. Díaz-Redondo, M. Fernández-Veiga, “Decentralized Orchestration Framework for Distributed AI Deployments across Fluid Computing Environment”, 21st ACM International Symposium on Performance Evaluation of Wireless Ad Hoc, Sensor, and Ubiquitous Networks (PE-WASUN 2025), Barcelona (Spain).
DOI: 10.1109/MSWiM67937.2025.11308919

E. Rodríguez-Lois,  F. Pérez-González, “Collusion-resistant Black-box Watermarking in Federated Learning through Weight Relevance Analysis”, IEEE ICASSP 2025. 
DOI: [In Press]

X. Martínez-Luaña, M. Fernández-Veiga, R. Díaz-Redondo, “Privacy-aware Berrut Approximated Coded Computing applied to Federated Learning”, IEEE International Workshop on Information Forensics and Security (WIFS), 2024.
DOI:  10.1109/WIFS61860.2024.10810717

E. Rodríguez-Lois, F. Pérez-González, “Exploring Federated Learning Dynamics for Black-and-White-Box DNN Traitor Tracing”, 2nd IEEE International Conference on Federated Learning Technologies and Applications (FLTA), 2024.
DOI: 10.1109/FLTA63145.2024.10840113

M. Morona-Mínguez, A. Pedrouzo-Ulloa, F. Pérez-González, “A Critical Look into Threshold Homomorphic Encryption for Private Average Aggregation”, 2nd IEEE International Conference on Federated Learning Technologies and Applications (FLTA), 2024.
DOI: 10.1109/FLTA63145.2024.10840167

C. Beis-Penedo, R. P. Díaz-Redondo, A. Fernández-Vilas, F. Troncoso-Pastoriza, M. Fernández-Veiga, “Blockchain Support for Verifiable Split Learning”, International Conference on Semantic Computing (ICSC), 2024.
DOI: 10.1109/ICSC63108.2024.10895630

A. Montibeller, R. Asiku, F. Pérez-González, G. Boato, “Shedding Light on some Leaks in PRNU-based Source Attribution”, 12th ACM Workshop on Information Hiding and Multimedia Security (IHMMSEC), Baiona, Spain, June 2024. 
DOI: 10.1145/3658664.3659654

J. Bossuat,  R. Cammarota, Jung Hee Cheon, Ilaria Chillotti, Benjamin R. Curtis, Wei Dai, Huijing Gong, Erin Hales, Duhyeong Kim, Bryan Kumara, Changmin Lee, Xianhui Lu, Carsten Maple, Alberto Pedrouzo-Ulloa, Rachel Player, Luis Antonio Ruiz Lopez, Yongsoo Song, Donggeon Yhee, Bahattin Yildiz, “Security Guidelines for Implementing Homomorphic Encryption”, FHE.org Conference, Toronto, Canada, March 2024. 
DOI: [In Press]

E. Rodríguez-Lois, F. Pérez-González, “Towards Traitor Tracing in Black-and-White-Box DNN Watermarking with Tardos-based Codes”, IEEE International Workshop on Information Forensics and Security (WIFS), Nuremberg, Germany, December 2023.
DOI: 10.1109/WIFS58808.2023.10374879