Minh K. Quan

According to our database, Minh K. Quan authored at least 7 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Privacy and Fairness in Machine Learning: A Survey.

Sina Shaham, Arash Hajisafi, Minh K. Quan, Dinh C. Nguyen, Bhaskar Krishnamachari, Charith Peris, Gabriel Ghinita, Cyrus Shahabi, Pubudu N. Pathirana

IEEE Trans. Artif. Intell., July, 2025

Federated Learning for Cyber Physical Systems: A Comprehensive Survey.

Minh K. Quan, Pubudu N. Pathirana, Mayuri Wijayasundara, Sujeeva Setunge, Dinh C. Nguyen, Christopher G. Brinton, David J. Love, H. Vincent Poor

CoRR, May, 2025

Quantum-Inspired Genetic Algorithm for Robust Source Separation in Smart City Acoustics.

Minh K. Quan, Mayuri Wijayasundara, Sujeeva Setunge, Pubudu N. Pathirana

CoRR, April, 2025

Quantum-Enhanced Transformers for Robust Acoustic Scene Classification in IoT Environments.

Minh K. Quan, Mayuri Wijayasundara, Sujeeva Setunge, Pubudu N. Pathirana

Proceedings of the International Conference on Computing, Networking and Communications, 2025

2024

Toward Privacy-Preserving Waste Classification in the Internet of Things.

Minh K. Quan, Dinh C. Nguyen, Van-Dinh Nguyen, Mayuri Wijayasundara, Sujeeva Setunge, Pubudu N. Pathirana

IEEE Internet Things J., July, 2024

2023

Holistic Survey of Privacy and Fairness in Machine Learning.

Sina Shaham, Arash Hajisafi, Minh K. Quan, Dinh C. Nguyen, Bhaskar Krishnamachari, Charith Peris, Gabriel Ghinita, Cyrus Shahabi, Pubudu N. Pathirana

CoRR, 2023

HierSFL: Local Differential Privacy-Aided Split Federated Learning in Mobile Edge Computing.

Minh K. Quan, Dinh C. Nguyen, Van-Dinh Nguyen, Mayuri Wijayasundara, Sujeeva Setunge, Pubudu N. Pathirana

Proceedings of the 2023 IEEE Virtual Conference on Communications (VCC), 2023