Huy Q. Le

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 17

Top Topics

Complex Domains

Learned Knowledge

Communication Services

Top Venues

IEEE Internet Things J.

Publications

Yu Qiao, Huy Q. Le, Mengchun Zhang, Apurba Adhikary, Chaoning Zhang, Choong Seon Hong
FedCCL: Federated Dual-Clustered Feature Contrast Under Domain Heterogeneity. CoRR (2024)
Yu Qiao, Md. Shirajum Munir, Apurba Adhikary, Huy Q. Le, Avi Deb Raha, Chaoning Zhang, Choong Seon Hong
MP-FedCL: Multiprototype Federated Contrastive Learning for Edge Intelligence. IEEE Internet Things J. 11 (5) (2024)
Huy Q. Le, Chu Myaet Thwal, Yu Qiao, Ye Lin Tun, Minh N. H. Nguyen, Choong Seon Hong
Cross-Modal Prototype based Multimodal Federated Learning under Severely Missing Modality. CoRR (2024)
Huy Q. Le, Minh N. H. Nguyen, Shashi Raj Pandey, Chaoning Zhang, Choong Seon Hong
CDKT-FL: Cross-device knowledge transfer using proxy dataset in federated learning. Eng. Appl. Artif. Intell. 133 (2024)
Loc X. Nguyen, Pyae Sone Aung, Huy Q. Le, Seong-Bae Park, Choong Seon Hong
A New Chapter for Medical Image Generation: The Stable Diffusion Method. ICOIN (2023)
Yu Qiao, Huy Q. Le, Choong Seon Hong
Boosting Federated Learning Convergence with Prototype Regularization. CoRR (2023)
Huy Q. Le, Loc X. Nguyen, Seong-Bae Park, Choong Seon Hong
Layer-wise Knowledge Distillation for Cross-Device Federated Learning. ICOIN (2023)
Loc X. Nguyen, Huy Q. Le, Ye Lin Tun, Pyae Sone Aung, Yan Kyaw Tun, Zhu Han, Choong Seon Hong
Training A Semantic Communication System with Federated Learning. CoRR (2023)
Yu Qiao, Chaoning Zhang, Huy Q. Le, Avi Deb Raha, Apurba Adhikary, Choong Seon Hong
Knowledge Distillation in Federated Learning: Where and How to Distill? APNOMS (2023)
Huy Q. Le, Minh N. H. Nguyen, Chu Myaet Thwal, Yu Qiao, Chaoning Zhang, Choong Seon Hong
FedMEKT: Distillation-based Embedding Knowledge Transfer for Multimodal Federated Learning. CoRR (2023)
Yu Qiao, Md. Shirajum Munir, Apurba Adhikary, Huy Q. Le, Avi Deb Raha, Chaoning Zhang, Choong Seon Hong
MP-FedCL: Multi-Prototype Federated Contrastive Learning for Edge Intelligence. CoRR (2023)
Luyao Zou, Huy Q. Le, Avi Deb Raha, Dong Uk Kim, Choong Seon Hong
EFCKD: Edge-Assisted Federated Contrastive Knowledge Distillation Approach for Energy Management: Energy Theft Perspective. APNOMS (2023)
Nguyen Dang Tri, Loc X. Nguyen, Huy Q. Le, KiTae Kim, S. M. Ahsan Kazmi, Seong-Bae Park, Eui-Nam Huh, Choong Seon Hong
Semantic Communication for AR-based Services in 5G and Beyond. ICOIN (2023)
Huy Q. Le, Yu Qiao, Loc X. Nguyen, Luyao Zou, Choong Seon Hong
Federated Multimodal Learning for IoT Applications: A Contrastive Learning Approach. APNOMS (2023)
Minh N. H. Nguyen, Huy Q. Le, Shashi Raj Pandey, Choong Seon Hong
CDKT-FL: Cross-Device Knowledge Transfer using Proxy Dataset in Federated Learning. CoRR (2022)
Loc X. Nguyen, Luyao Zou, Huy Q. Le, Choong Seon Hong
An Encouraging Design for Data Owners to Join Multiple Co-existing Federated Learning. APNOMS (2022)
Huy Q. Le, Jong Hoon Shin, Minh N. H. Nguyen, Choong Seon Hong
Distilling Knowledge in Federated Learning. APNOMS (2021)