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Author

Junsuk Oh

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Conference Aug 2026

Quantum Machine Learning for Intelligent ICT Systems: A Survey of Models, Algorithms, Challenges, and Future Directions

Quantum machine learning (QML) is an emerging research area that combines quantum computing with machine learning to exploit quantum superposition, entanglement, interference, and high-dimensional Hilbert-space representations. This paper presents a concise survey of QML models and algorithms for near-term noisy interm...

Ton That Tam Dinh, Manh Cuong Ho, Ayalneh Bitew Wondmagegn et al. · 0 citations
Conference Jul 2026

A Secure Hierarchical Federated Learning Architecture for UAV-Enabled Edge Computing Systems

Unmanned aerial vehicles (UAVs) are emerging as mobile edge nodes for temporary coverage, aerial sensing, disaster response, public-safety monitoring, intelligent transportation, and smart-agriculture services. Although federated learning (FL) enables distributed model training without transferring raw data, convention...

Ton That Tam Dinh, Manh Cuong Ho, Ayalneh Bitew Wondmagegn et al. · 0 citations
Conference Jul 2026

Toward Fusion Intelligence of Open Radio Access Network with Federated Learning: A Survey

Open Radio Access Network (O-RAN) enables flexible and intelligent radio access network operation through disaggregation, virtualization, open interfaces, and RAN Intelligent Controllers (RICs). At the same time, the data required to train artificial intelligence and machine learning models in O-RAN is naturally distri...

Junsuk Oh, Donghyun Lee, Chunghyun Lee et al. · 0 citations

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