57 citations · 95 across the 51 of their papers we have counts for
4 papers · 2 filters
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…
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…
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…
Towards Adapting Federated & Quantum Machine Learning for Network Intrusion Detection: A Survey
Devashish Chaudhary, Sutharshan Rajasegarar, Shiva Raj Pokhrel
This survey explores the integration of Federated Learning (FL) with Network Intrusion Detection Systems (NIDS), with particular emphasis on deep learning and quantum machine learn…