Minh N. H. Nguyen

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 40

Top Topics

Wireless Networks

Learning Systems

Distributed Learning

Top Venues

IEEE Trans. Veh. Technol.

Publications

Ye Lin Tun, Chu Myaet Thwal, Minh N. H. Nguyen, Choong Seon Hong
Resource-Efficient Federated Multimodal Learning via Layer-wise and Progressive Training. CoRR (2024)
Loc X. Nguyen, Ye Lin Tun, Yan Kyaw Tun, Minh N. H. Nguyen, Chaoning Zhang, Zhu Han, Choong Seon Hong
Swin Transformer-Based Dynamic Semantic Communication for Multi-User With Different Computing Capacity. IEEE Trans. Veh. Technol. 73 (6) (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)
Chu Myaet Thwal, Minh N. H. Nguyen, Ye Lin Tun, Seong Tae Kim, My T. Thai, Choong Seon Hong
OnDev-LCT: On-Device Lightweight Convolutional Transformers towards federated learning. CoRR (2024)
Ye Lin Tun, Chu Myaet Thwal, Le Quang Huy, Minh N. H. Nguyen, Choong Seon Hong
LW-FedSSL: Resource-efficient Layer-wise Federated Self-supervised Learning. CoRR (2024)
Chu Myaet Thwal, Minh N. H. Nguyen, Ye Lin Tun, Seong Tae Kim, My T. Thai, Choong Seon Hong
OnDev-LCT: On-Device Lightweight Convolutional Transformers towards federated learning. Neural Networks 170 (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)
Minh N. H. Nguyen, Shashi Raj Pandey, Nguyen Dang Tri, Eui-Nam Huh, Nguyen Hoang Tran, Walid Saad, Choong Seon Hong
Self-Organizing Democratized Learning: Toward Large-Scale Distributed Learning Systems. IEEE Trans. Neural Networks Learn. Syst. 34 (12) (2023)
Ye Lin Tun, Minh N. H. Nguyen, Chu Myaet Thwal, Jinwoo Choi, Choong Seon Hong
Contrastive encoder pre-training-based clustered federated learning for heterogeneous data. Neural Networks 165 (2023)
Ye Lin Tun, Minh N. H. Nguyen, Chu Myaet Thwal, Jinwoo Choi, Choong Seon Hong
Contrastive encoder pre-training-based clustered federated learning for heterogeneous data. CoRR (2023)
Loc X. Nguyen, Ye Lin Tun, Yan Kyaw Tun, Minh N. H. Nguyen, Chaoning Zhang, Zhu Han, Choong Seon Hong
Swin Transformer-Based Dynamic Semantic Communication for Multi-User with Different Computing Capacity. CoRR (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)
Minh N. H. Nguyen, Nguyen Hoang Tran, Yan Kyaw Tun, Zhu Han, Choong Seon Hong
Toward Multiple Federated Learning Services Resource Sharing in Mobile Edge Networks. IEEE Trans. Mob. Comput. 22 (1) (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)
Shashi Raj Pandey, Minh N. H. Nguyen, Nguyen Dang Tri, Nguyen H. Tran, Kyi Thar, Zhu Han, Choong Seon Hong
Edge-Assisted Democratized Learning Toward Federated Analytics. IEEE Internet Things J. 9 (1) (2022)
Canh T. Dinh, Nguyen H. Tran, Minh N. H. Nguyen, Choong Seon Hong, Wei Bao, Albert Y. Zomaya, Vincent Gramoli
Federated Learning Over Wireless Networks: Convergence Analysis and Resource Allocation. IEEE/ACM Trans. Netw. 29 (1) (2021)
Huy Q. Le, Jong Hoon Shin, Minh N. H. Nguyen, Choong Seon Hong
Distilling Knowledge in Federated Learning. APNOMS (2021)
Tra Huong Thi Le, Nguyen H. Tran, Yan Kyaw Tun, Minh N. H. Nguyen, Shashi Raj Pandey, Zhu Han, Choong Seon Hong
An Incentive Mechanism for Federated Learning in Wireless Cellular Networks: An Auction Approach. IEEE Trans. Wirel. Commun. 20 (8) (2021)
Minh N. H. Nguyen, Shashi Raj Pandey, Kyi Thar, Nguyen H. Tran, Mingzhe Chen, Walid Saad, Choong Seon Hong
Distributed and Democratized Learning: Philosophy and Research Challenges. IEEE Comput. Intell. Mag. 16 (1) (2021)
Minh N. H. Nguyen, Shashi Raj Pandey, Nguyen Dang Tri, Eui-Nam Huh, Choong Seon Hong, Nguyen H. Tran, Walid Saad
Self-organizing Democratized Learning: Towards Large-scale Distributed Learning Systems. CoRR (2020)
Latif U. Khan, Shashi Raj Pandey, Nguyen H. Tran, Walid Saad, Zhu Han, Minh N. H. Nguyen, Choong Seon Hong
Federated Learning for Edge Networks: Resource Optimization and Incentive Mechanism. IEEE Commun. Mag. 58 (10) (2020)
Minh N. H. Nguyen, Shashi Raj Pandey, Kyi Thar, Nguyen H. Tran, Mingzhe Chen, Walid Saad, Choong Seon Hong
Distributed and Democratized Learning: Philosophy and Research Challenges. CoRR (2020)
Minh N. H. Nguyen, Nguyen H. Tran, Yan Kyaw Tun, Zhu Han, Choong Seon Hong
Toward Multiple Federated Learning Services Resource Sharing in Mobile Edge Networks. CoRR (2020)
Tra Huong Thi Le, Nguyen H. Tran, Yan Kyaw Tun, Minh N. H. Nguyen, Shashi Raj Pandey, Zhu Han, Choong Seon Hong
An Incentive Mechanism for Federated Learning in Wireless Cellular network: An Auction Approach. CoRR (2020)
Shashi Raj Pandey, Minh N. H. Nguyen, Nguyen Dang Tri, Nguyen H. Tran, Kyi Thar, Zhu Han, Choong Seon Hong
Edge-assisted Democratized Learning Towards Federated Analytics. CoRR (2020)
Minh N. H. Nguyen, Chit Wutyee Zaw, Kitae Kim, Nguyen H. Tran, Choong Seon Hong
Let's Share the Resource When We're Co-Located: Colocation Edge Computing. IEEE Trans. Veh. Technol. 69 (5) (2020)
Minh N. H. Nguyen, Chit Wutyee Zaw, Kitae Kim, Choong Seon Hong
Joint User Association and Server Scaling in Multi-access Edge Computing. APNOMS (2019)
Nguyen H. Tran, Wei Bao, Albert Y. Zomaya, Minh N. H. Nguyen, Choong Seon Hong
Federated Learning over Wireless Networks: Optimization Model Design and Analysis. INFOCOM (2019)
Canh T. Dinh, Nguyen H. Tran, Minh N. H. Nguyen, Choong Seon Hong, Wei Bao, Albert Y. Zomaya, Vincent Gramoli
Federated Learning over Wireless Networks: Convergence Analysis and Resource Allocation. CoRR (2019)
Latif U. Khan, Nguyen H. Tran, Shashi Raj Pandey, Walid Saad, Zhu Han, Minh N. H. Nguyen, Choong Seon Hong
Federated Learning for Edge Networks: Resource Optimization and Incentive Mechanism. CoRR (2019)
Minh N. H. Nguyen, Nguyen H. Tran, Mohammad A. Islam, Chuan Pham, Shaolei Ren, Choong Seon Hong
Multi-operator backup power sharing in wireless base stations. NOMS (2018)
Minh N. H. Nguyen, Nguyen H. Tran, Mohammad A. Islam, Chuan Pham, Shaolei Ren, Choong Seon Hong
Fair Sharing of Backup Power Supply in Multi-Operator Wireless Cellular Towers. IEEE Trans. Wirel. Commun. 17 (3) (2018)
Phuong Luu Vo, Minh N. H. Nguyen, Tuan-Anh Le, Nguyen H. Tran
Slicing the Edge: Resource Allocation for RAN Network Slicing. IEEE Wirel. Commun. Lett. 7 (6) (2018)
Nguyen H. Tran, Chuan Pham, Minh N. H. Nguyen, Shaolei Ren, Choong Seon Hong
Incentivizing Energy Reduction for Emergency Demand Response in Multi-Tenant Mixed-Use Buildings. IEEE Trans. Smart Grid 9 (4) (2018)
Minh N. H. Nguyen, Chuan Pham, Nguyen H. Tran, Choong Seon Hong
Outliers detection and correction for cooperative distributed online learning in Wireless sensor network. ICOIN (2017)
Minh N. H. Nguyen, DoHyeon Kim, Nguyen H. Tran, Choong Seon Hong
Multi-stage stackelberg game approach for colocation datacenter demand response. APNOMS (2017)
Nguyen H. Tran, Chuan Pham, Minh N. H. Nguyen, Shaolei Ren, Choong Seon Hong
Incentive-aligned mechanism for emergency demand response in multi-tenant mixed-use buildings. INFOCOM Workshops (2016)
Minh N. H. Nguyen, Chuan Pham, Jae Hyeok Son, Choong Seon Hong
Online learning-based clustering approach for news recommendation systems. APNOMS (2016)
Chuan Pham, Nguyen H. Tran, Minh N. H. Nguyen, Jae Hyeok Son, Choong Seon Hong
Hosting Virtual Machines on Distributed Datacenters. IMCOM (2016)
Chuan Pham, Nguyen H. Tran, Minh N. H. Nguyen, Shaolei Ren, Walid Saad, Choong Seon Hong
Hosting virtual machines on a cloud datacenter: A matching theoretic approach. NOMS (2016)