Huy Q. Le

According to our database, Huy Q. Le authored at least 25 papers between 2021 and 2025.

Collaborative distances:

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

2025

Towards Artificial General or Personalized Intelligence? A Survey on Foundation Models for Personalized Federated Intelligence.

Yu Qiao, Huy Q. Le, Avi Deb Raha, Phuong-Nam Tran, Apurba Adhikary, Mengchun Zhang, Loc X. Nguyen, Eui-Nam Huh, Dusit Niyato, Choong Seon Hong

CoRR, May, 2025

Cyber Attacks Prevention Toward Prosumer-Based EV Charging Stations: An Edge-Assisted Federated Prototype Knowledge Distillation Approach.

Luyao Zou, Quang Hieu Vo, Kitae Kim, Huy Q. Le, Chu Myaet Thwal, Chaoning Zhang, Choong Seon Hong

IEEE Trans. Netw. Serv. Manag., April, 2025

Pre-trained Model Guided Mixture Knowledge Distillation for Adversarial Federated Learning.

Yu Qiao, Huy Q. Le, Apurba Adhikary, Choong Seon Hong

CoRR, January, 2025

Mitigating Domain Shift in Federated Learning via Intra- and Inter-Domain Prototypes.

Huy Q. Le, Ye Lin Tun, Yu Qiao, Minh N. H. Nguyen, Keon Oh Kim, Choong Seon Hong

CoRR, January, 2025

FedMEKT: Distillation-based embedding knowledge transfer for multimodal federated learning.

Huy Q. Le, Minh N. H. Nguyen, Chu Myaet Thwal, Yu Qiao, Chaoning Zhang, Choong Seon Hong

Neural Networks, 2025

Cross-modal prototype based multimodal federated learning under severely missing modality.

Huy Q. Le, Chu Myaet Thwal, Yu Qiao, Ye Lin Tun, Minh N. H. Nguyen, Eui-Nam Huh, Choong Seon Hong

Inf. Fusion, 2025

Robust Federated Learning on Edge Devices with Domain Heterogeneity.

Huy Q. Le, Latif U. Khan, Choong Seon Hong

Proceedings of the International Wireless Communications and Mobile Computing, 2025

2024

An Efficient Federated Learning Framework for Training Semantic Communication Systems.

Loc X. Nguyen, Huy Q. Le, Ye Lin Tun, Pyae Sone Aung, Yan Kyaw Tun, Zhu Han, Choong Seon Hong

IEEE Trans. Veh. Technol., October, 2024

MP-FedCL: Multiprototype Federated Contrastive Learning for Edge Intelligence.

Yu Qiao, Md. Shirajum Munir, Apurba Adhikary, Huy Q. Le, Avi Deb Raha, Chaoning Zhang, Choong Seon Hong

IEEE Internet Things J., 2024

CDKT-FL: Cross-device knowledge transfer using proxy dataset in federated learning.

Huy Q. Le, Minh N. H. Nguyen, Shashi Raj Pandey, Chaoning Zhang, Choong Seon Hong

Eng. Appl. Artif. Intell., 2024

Cyber Attacks Prevention Towards Prosumer-based EV Charging Stations: An Edge-assisted Federated Prototype Knowledge Distillation Approach.

Luyao Zou, Quang Hieu Vo, Kitae Kim, Huy Q. Le, Chu Myaet Thwal, Chaoning Zhang, Choong Seon Hong

CoRR, 2024

FedCCL: Federated Dual-Clustered Feature Contrast Under Domain Heterogeneity.

Yu Qiao, Huy Q. Le, Mengchun Zhang, Apurba Adhikary, Chaoning Zhang, Choong Seon Hong

CoRR, 2024

Cross-Modal Prototype based Multimodal Federated Learning under Severely Missing Modality.

Huy Q. Le, Chu Myaet Thwal, Yu Qiao, Ye Lin Tun, Minh N. H. Nguyen, Choong Seon Hong

CoRR, 2024

2023

Training A Semantic Communication System with Federated Learning.

Loc X. Nguyen, Huy Q. Le, Ye Lin Tun, Pyae Sone Aung, Yan Kyaw Tun, Zhu Han, Choong Seon Hong

CoRR, 2023

Boosting Federated Learning Convergence with Prototype Regularization.

Yu Qiao, Huy Q. Le, Choong Seon Hong

CoRR, 2023

MP-FedCL: Multi-Prototype Federated Contrastive Learning for Edge Intelligence.

Yu Qiao, Md. Shirajum Munir, Apurba Adhikary, Huy Q. Le, Avi Deb Raha, Chaoning Zhang, Choong Seon Hong

CoRR, 2023

Semantic Communication for AR-based Services in 5G and Beyond.

Nguyen Dang Tri, Loc X. Nguyen, Huy Q. Le, KiTae Kim, S. M. Ahsan Kazmi, Seong-Bae Park, Eui-Nam Huh, Choong Seon Hong

Proceedings of the International Conference on Information Networking, 2023

A New Chapter for Medical Image Generation: The Stable Diffusion Method.

Loc X. Nguyen, Pyae Sone Aung, Huy Q. Le, Seong-Bae Park, Choong Seon Hong

Proceedings of the International Conference on Information Networking, 2023

Layer-wise Knowledge Distillation for Cross-Device Federated Learning.

Huy Q. Le, Loc X. Nguyen, Seong-Bae Park, Choong Seon Hong

Proceedings of the International Conference on Information Networking, 2023

EFCKD: Edge-Assisted Federated Contrastive Knowledge Distillation Approach for Energy Management: Energy Theft Perspective.

Luyao Zou, Huy Q. Le, Avi Deb Raha, Dong Uk Kim, Choong Seon Hong

Proceedings of the 24st Asia-Pacific Network Operations and Management Symposium, 2023

Knowledge Distillation in Federated Learning: Where and How to Distill?

Yu Qiao, Chaoning Zhang, Huy Q. Le, Avi Deb Raha, Apurba Adhikary, Choong Seon Hong

Proceedings of the 24st Asia-Pacific Network Operations and Management Symposium, 2023

Federated Multimodal Learning for IoT Applications: A Contrastive Learning Approach.

Huy Q. Le, Yu Qiao, Loc X. Nguyen, Luyao Zou, Choong Seon Hong

Proceedings of the 24st Asia-Pacific Network Operations and Management Symposium, 2023

2022

CDKT-FL: Cross-Device Knowledge Transfer using Proxy Dataset in Federated Learning.

Minh N. H. Nguyen, Huy Q. Le, Shashi Raj Pandey, Choong Seon Hong

CoRR, 2022

An Encouraging Design for Data Owners to Join Multiple Co-existing Federated Learning.

Loc X. Nguyen, Luyao Zou, Huy Q. Le, Choong Seon Hong

Proceedings of the 23rd Asia-Pacific Network Operations and Management Symposium, 2022

2021

Distilling Knowledge in Federated Learning.

Huy Q. Le, Jong Hoon Shin, Minh N. H. Nguyen, Choong Seon Hong

Proceedings of the 22nd Asia-Pacific Network Operations and Management Symposium, 2021