2 papers
cs.LG2026
Federating Quantum and Classical Computing: A Privacy-Preserving Hybrid Approach
Carlos Cano, Daniel M. Jimenez-Gutierrez, Diego Sal +4
Quantum machine learning (QML) is increasingly recognized as one of the most promising near-term applications of quantum computing, viewed as a next-frontier candidate beyond purel…
cs.CR2025
Federated Cyber Defense: Privacy-Preserving Ransomware Detection Across Distributed Systems
Daniel M. Jimenez-Gutierrez, Enrique Zuazua, Joaquin Del Rio +2
Detecting malware, especially ransomware, is essential to securing today's interconnected ecosystems, including cloud storage, enterprise file-sharing, and database services. Train…