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Huy Q. Le
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2020 – today
- 2024
- [j3]Huy Q. Le
, Minh N. H. Nguyen
CDKT-FL: Cross-device knowledge transfer using proxy dataset in federated learning. Eng. Appl. Artif. Intell. 133: 108093 (2024) - [j2]Yu Qiao
MP-FedCL: Multiprototype Federated Contrastive Learning for Edge Intelligence. IEEE Internet Things J. 11(5): 8604-8623 (2024) - [j1]Loc X. Nguyen
An Efficient Federated Learning Framework for Training Semantic Communication Systems. IEEE Trans. Veh. Technol. 73(10): 15872-15877 (2024) - [i7]Huy Q. Le, Chu Myaet Thwal, Yu Qiao, Ye Lin Tun
Cross-Modal Prototype based Multimodal Federated Learning under Severely Missing Modality. CoRR abs/2401.13898 (2024) - [i6]Yu Qiao, Huy Q. Le, Mengchun Zhang, Apurba Adhikary, Chaoning Zhang, Choong Seon Hong:
FedCCL: Federated Dual-Clustered Feature Contrast Under Domain Heterogeneity. CoRR abs/2404.09259 (2024) - 2023
- [c8]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: 18-23 - [c7]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: 30-35 - [c6]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: 201-206 - [c5]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: 483-486 - [c4]Huy Q. Le, Loc X. Nguyen, Seong-Bae Park, Choong Seon Hong:
Layer-wise Knowledge Distillation for Cross-Device Federated Learning. ICOIN 2023: 526-529 - [c3]Nguyen Dang Tri
Semantic Communication for AR-based Services in 5G and Beyond. ICOIN 2023: 549-553 - [i5]Yu Qiao, Md. Shirajum Munir, Apurba Adhikary
MP-FedCL: Multi-Prototype Federated Contrastive Learning for Edge Intelligence. CoRR abs/2304.01950 (2023) - [i4]Yu Qiao, Huy Q. Le, Choong Seon Hong:
Boosting Federated Learning Convergence with Prototype Regularization. CoRR abs/2307.10575 (2023) - [i3]Huy Q. Le, Minh N. H. Nguyen, Chu Myaet Thwal, Yu Qiao, Chaoning Zhang
FedMEKT: Distillation-based Embedding Knowledge Transfer for Multimodal Federated Learning. CoRR abs/2307.13214 (2023) - [i2]Loc X. Nguyen, Huy Q. Le, Ye Lin Tun
Training A Semantic Communication System with Federated Learning. CoRR abs/2310.13236 (2023) - 2022
- [c2]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: 1-4 - [i1]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 abs/2204.01542 (2022) - 2021
- [c1]Huy Q. Le, Jong Hoon Shin, Minh N. H. Nguyen, Choong Seon Hong:
Distilling Knowledge in Federated Learning. APNOMS 2021: 196-201
Coauthor Index
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