9 citations · 17 across the 9 of their papers we have counts for
5 papers · 1 filter
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…
Performance Analysis and Evaluation of Post Quantum Secure Blockchained Federated Learning
Dev Gurung, Shiva Raj Pokhrel, Gang Li
Post-quantum security is critical in the quantum era. Quantum computers, along with quantum algorithms, make the standard cryptography based on RSA or ECDSA over FL or Blockchain v…
Secure Communication Model For Quantum Federated Learning: A Post Quantum Cryptography (PQC) Framework
Dev Gurung, Shiva Raj Pokhrel, Gang Li
We design a model of Post Quantum Cryptography (PQC) Quantum Federated Learning (QFL). We develop a framework with a dynamic server selection and study convergence and security con…