About
I have worked on quantum/classical machine learning algorithms, FL algorithms, DRL for wireless communications including tactical MANETs, post quantum cryptography, quantum cryptography, distributed systems like satellite, autonomous vehicles, privacy protocols like DP etc.
News & Updates
2026Paper accepted at IEEE Transactions on Networking (Q1, Core A*): Communication Efficient Adaptive Model-Driven QFL.
2026Poster Presentation (Virtually/Recorded) at the 40th International Conference on Information Networking (ICOIN 2026).
2025Paper accepted at IEEE Transactions on Network and Service Management (Q1): QFL for Metaverse.
2025Paper accepted at IEEE Transactions on Artificial Intelligence (Q1): Weighted Personalized QFL.
2025Paper accepted at Future Generation Computer Systems (Q1, Core A): Chained Continuous QFL.
2024Paper accepted at Computer Networks (Q1, Core A): Performance analysis and evaluation of post-quantum secure blockchained federated learning.
2024Poster presentation at APNet '24: A Personalized Quantum Federated Learning.
2023Paper accepted & Virtual Oral Presentation at ICLR Tiny Papers 2023: Secure Communication Model for Quantum Federated Learning.
Research Interests
- •Classical & Quantum Machine Learning: Designing and analyzing advanced classical machine learning architectures alongside quantum circuits and algorithms.
- •Classical & Quantum Federated Learning: Developing decentralized frameworks optimizing for communication efficiency, data privacy, and security.
- •Applied Artificial Intelligence: Leveraging applied AI techniques to solve complex, real-world engineering problems with a focus on optimization.
- •Wireless Communications & DRL: Investigating next-generation communication protocols, Multi-Hop, Tactical MANETs, and exploring DRL.
- •Distributed Systems: Designing architectures for next-generation networks, including autonomous vehicular networks (AV) and Satellite communications.
- •Privacy and Security: Exploring differential privacy, post-quantum and quantum secure protocols for long-term security in federated environments.
Selected Publications
All Publications →Communication Efficient Adaptive Model-Driven Quantum Federated Learning
D. Gurung, et al.
IEEE Transactions on Networking (2026)[Accepted]
Chained Continuous Quantum Federated Learning Framework
D. Gurung, et al.
Future Generation Computer Systems (2025)[Accepted]
Quantum Federated Learning for Metaverse: Analysis, Design and Implementation
D. Gurung, et al.
IEEE Transactions on Network and Service Management (2025)[Accepted]
Performance analysis and evaluation of post-quantum secure blockchained federated learning
D. Gurung, et al.
Computer Networks (2024)[Accepted]