Distilling Knowledge in Federated Learning. - Huy Q. Le; Jong Hoon Shin; Minh N. H. Nguyen; Choong Seon Hong (APNOMS, 2021)

An Encouraging Design for Data Owners to Join Multiple Co-existing Federated Learning. - Loc X. Nguyen; Luyao Zou; Huy Q. Le; Choong Seon Hong (APNOMS, 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)

Federated Multimodal Learning for IoT Applications: A Contrastive Learning Approach. - Huy Q. Le; Yu Qiao 004; Loc X. Nguyen; Luyao Zou; Choong Seon Hong (APNOMS, 2023)

Knowledge Distillation in Federated Learning: Where and How to Distill? - Yu Qiao 004; Chaoning Zhang; Huy Q. Le; Avi Deb Raha; Apurba Adhikary; Choong Seon Hong (APNOMS, 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 (APNOMS, 2023)

Layer-wise Knowledge Distillation for Cross-Device Federated Learning. - Huy Q. Le; Loc X. Nguyen; Seong-Bae Park; Choong Seon Hong (ICOIN, 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 (ICOIN, 2023)

Semantic Communication for AR-based Services in 5G and Beyond. - Nguyen Dang Tri; Loc X. Nguyen; Huy Q. Le; KiTae Kim 001; S. M. Ahsan Kazmi; Seong-Bae Park; Eui-Nam Huh; Choong Seon Hong (ICOIN, 2023)

MP-FedCL: Multi-Prototype Federated Contrastive Learning for Edge Intelligence. - Yu Qiao 004; Md. Shirajum Munir; Apurba Adhikary; Huy Q. Le; Avi Deb Raha; Chaoning Zhang; Choong Seon Hong (CoRR, 2023)

Boosting Federated Learning Convergence with Prototype Regularization. - Yu Qiao 004; Huy Q. Le; Choong Seon Hong (CoRR, 2023)

Training A Semantic Communication System with Federated Learning. - Loc X. Nguyen; Huy Q. Le; Ye Lin Tun 001; Pyae Sone Aung; Yan Kyaw Tun; Zhu Han 001; Choong Seon Hong (CoRR, 2023)

Cross-Modal Prototype based Multimodal Federated Learning under Severely Missing Modality. - Huy Q. Le; Chu Myaet Thwal; Yu Qiao 004; Ye Lin Tun 001; Minh N. H. Nguyen; Choong Seon Hong (CoRR, 2024)

FedCCL: Federated Dual-Clustered Feature Contrast Under Domain Heterogeneity. - Yu Qiao 004; Huy Q. Le; Mengchun Zhang; Apurba Adhikary; Chaoning Zhang; Choong Seon Hong (CoRR, 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 001; Huy Q. Le; Chu Myaet Thwal; Chaoning Zhang; Choong Seon Hong (CoRR, 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)

MP-FedCL: Multiprototype Federated Contrastive Learning for Edge Intelligence. - Yu Qiao 004; Md. Shirajum Munir; Apurba Adhikary; Huy Q. Le; Avi Deb Raha; Chaoning Zhang; Choong Seon Hong (IEEE Internet Things J., 2024)

An Efficient Federated Learning Framework for Training Semantic Communication Systems. - Loc X. Nguyen; Huy Q. Le; Ye Lin Tun 001; Pyae Sone Aung; Yan Kyaw Tun; Zhu Han 001; Choong Seon Hong (IEEE Trans. Veh. Technol., 2024)

Robust Federated Learning on Edge Devices with Domain Heterogeneity. - Huy Q. Le; Latif U. Khan; Choong Seon Hong (IWCMC, 2025)

Cross-modal prototype based multimodal federated learning under severely missing modality. - Huy Q. Le; Chu Myaet Thwal; Yu Qiao 004; Ye Lin Tun 001; Minh N. H. Nguyen; Eui-Nam Huh; Choong Seon Hong (Inf. Fusion, 2025)

FedMEKT: Distillation-based embedding knowledge transfer for multimodal federated learning. - Huy Q. Le; Minh N. H. Nguyen; Chu Myaet Thwal; Yu Qiao 004; Chaoning Zhang; Choong Seon Hong (Neural Networks, 2025)

Mitigating Domain Shift in Federated Learning via Intra- and Inter-Domain Prototypes. - Huy Q. Le; Ye Lin Tun 001; Yu Qiao 004; Minh N. H. Nguyen; Keon Oh Kim; Choong Seon Hong (CoRR, 2025)

Pre-trained Model Guided Mixture Knowledge Distillation for Adversarial Federated Learning. - Yu Qiao 004; Huy Q. Le; Apurba Adhikary; Choong Seon Hong (CoRR, 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 001; Huy Q. Le; Chu Myaet Thwal; Chaoning Zhang; Choong Seon Hong (IEEE Trans. Netw. Serv. Manag., 2025)

Towards Artificial General or Personalized Intelligence? A Survey on Foundation Models for Personalized Federated Intelligence. - Yu Qiao 004; Huy Q. Le; Avi Deb Raha; Phuong-Nam Tran 001; Apurba Adhikary; Mengchun Zhang; Loc X. Nguyen; Eui-Nam Huh; Dusit Niyato; Choong Seon Hong (CoRR, 2025)