Showing cs.CRShow all
3 papers · 1 filter
cs.CR2025
Scaling Trust in Quantum Federated Learning: A Multi-Protocol Privacy Design
Dev Gurung, Shiva Raj Pokhrel
Quantum Federated Learning (QFL) promises to revolutionize distributed machine learning by combining the computational power of quantum devices with collaborative model training. Y…
cs.CR2025
Quantum Vanguard: Server Optimized Privacy Fortified Federated Intelligence for Future Vehicles
Dev Gurung, Shiva Raj Pokhrel
This work presents vQFL (vehicular Quantum Federated Learning), a new framework that leverages quantum machine learning techniques to tackle key privacy and security issues in auto…
cs.CR2025
QuantumShield: Multilayer Fortification for Quantum Federated Learning
Dev Gurung, Shiva Raj Pokhrel
In this paper, we propose a groundbreaking quantum-secure federated learning (QFL) framework designed to safeguard distributed learning systems against the emerging threat of quant…