Online learning-based clustering approach for news recommendation systems. - Minh N. H. Nguyen; Chuan Pham; Jae Hyeok Son; Choong Seon Hong (APNOMS, 2016)

Hosting Virtual Machines on Distributed Datacenters. - Chuan Pham; Nguyen Hoang Tran; Minh N. H. Nguyen; Jae Hyeok Son; Choong Seon Hong (IMCOM, 2016)

Incentive-aligned mechanism for emergency demand response in multi-tenant mixed-use buildings. - Nguyen Hoang Tran; Chuan Pham; Minh N. H. Nguyen; Shaolei Ren; Choong Seon Hong (INFOCOM Workshops, 2016)

Hosting virtual machines on a cloud datacenter: A matching theoretic approach. - Chuan Pham; Nguyen Hoang Tran; Minh N. H. Nguyen; Shaolei Ren; Walid Saad; Choong Seon Hong (NOMS, 2016)

Multi-stage stackelberg game approach for colocation datacenter demand response. - Minh N. H. Nguyen; DoHyeon Kim; Nguyen Hoang Tran; Choong Seon Hong (APNOMS, 2017)

Outliers detection and correction for cooperative distributed online learning in Wireless sensor network. - Minh N. H. Nguyen; Chuan Pham; Nguyen Hoang Tran; Choong Seon Hong (ICOIN, 2017)

Multi-operator backup power sharing in wireless base stations. - Minh N. H. Nguyen; Nguyen Hoang Tran; Mohammad A. Islam 001; Chuan Pham; Shaolei Ren; Choong Seon Hong (NOMS, 2018)

Incentivizing Energy Reduction for Emergency Demand Response in Multi-Tenant Mixed-Use Buildings. - Nguyen Hoang Tran; Chuan Pham; Minh N. H. Nguyen; Shaolei Ren; Choong Seon Hong (IEEE Trans. Smart Grid, 2018)

Fair Sharing of Backup Power Supply in Multi-Operator Wireless Cellular Towers. - Minh N. H. Nguyen; Nguyen Hoang Tran; Mohammad A. Islam 001; Chuan Pham; Shaolei Ren; Choong Seon Hong (IEEE Trans. Wirel. Commun., 2018)

Slicing the Edge: Resource Allocation for RAN Network Slicing. - Phuong Luu Vo; Minh N. H. Nguyen; Tuan-Anh Le; Nguyen Hoang Tran (IEEE Wirel. Commun. Lett., 2018)

Joint User Association and Server Scaling in Multi-access Edge Computing. - Minh N. H. Nguyen; Chit Wutyee Zaw; Kitae Kim 001; Choong Seon Hong (APNOMS, 2019)

Federated Learning over Wireless Networks: Optimization Model Design and Analysis. - Nguyen Hoang Tran; Wei Bao 001; Albert Y. Zomaya; Minh N. H. Nguyen; Choong Seon Hong (INFOCOM, 2019)

Federated Learning for Edge Networks: Resource Optimization and Incentive Mechanism. - Latif U. Khan; Shashi Raj Pandey; Nguyen Hoang Tran; Walid Saad; Zhu Han 001; Minh N. H. Nguyen; Choong Seon Hong (IEEE Commun. Mag., 2020)

Self-organizing Democratized Learning: Towards Large-scale Distributed Learning Systems. - Minh N. H. Nguyen; Shashi Raj Pandey; Nguyen Dang Tri; Eui-Nam Huh; Choong Seon Hong; Nguyen Hoang Tran; Walid Saad (CoRR, 2020)

An Incentive Mechanism for Federated Learning in Wireless Cellular network: An Auction Approach. - Tra Huong Thi Le; Nguyen Hoang Tran; Yan Kyaw Tun; Minh N. H. Nguyen; Shashi Raj Pandey; Zhu Han 001; Choong Seon Hong (CoRR, 2020)

Edge-assisted Democratized Learning Towards Federated Analytics. - Shashi Raj Pandey; Minh N. H. Nguyen; Nguyen Dang Tri; Nguyen Hoang Tran; Kyi Thar; Zhu Han 001; Choong Seon Hong (CoRR, 2020)

Let's Share the Resource When We're Co-Located: Colocation Edge Computing. - Minh N. H. Nguyen; Chit Wutyee Zaw; Kitae Kim 001; Nguyen Hoang Tran; Choong Seon Hong (IEEE Trans. Veh. Technol., 2020)

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

Distributed and Democratized Learning: Philosophy and Research Challenges. - Minh N. H. Nguyen; Shashi Raj Pandey; Kyi Thar; Nguyen Hoang Tran; Mingzhe Chen; Walid Saad; Choong Seon Hong (IEEE Comput. Intell. Mag., 2021)

Federated Learning Over Wireless Networks: Convergence Analysis and Resource Allocation. - Canh T. Dinh; Nguyen Hoang Tran; Minh N. H. Nguyen; Choong Seon Hong; Wei Bao 001; Albert Y. Zomaya; Vincent Gramoli (IEEE/ACM Trans. Netw., 2021)

An Incentive Mechanism for Federated Learning in Wireless Cellular Networks: An Auction Approach. - Tra Huong Thi Le; Nguyen Hoang Tran; Yan Kyaw Tun; Minh N. H. Nguyen; Shashi Raj Pandey; Zhu Han 001; Choong Seon Hong (IEEE Trans. Wirel. Commun., 2021)

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)

Edge-Assisted Democratized Learning Toward Federated Analytics. - Shashi Raj Pandey; Minh N. H. Nguyen; Nguyen Dang Tri; Nguyen Hoang Tran; Kyi Thar; Zhu Han 001; Choong Seon Hong (IEEE Internet Things J., 2022)

Toward Multiple Federated Learning Services Resource Sharing in Mobile Edge Networks. - Minh N. H. Nguyen; Nguyen Hoang Tran; Yan Kyaw Tun; Zhu Han 001; Choong Seon Hong (IEEE Trans. Mob. Comput., 2023)

Contrastive encoder pre-training-based clustered federated learning for heterogeneous data. - Ye Lin Tun 001; Minh N. H. Nguyen; Chu Myaet Thwal; Jinwoo Choi 001; Choong Seon Hong (Neural Networks, 2023)

Self-Organizing Democratized Learning: Toward Large-Scale Distributed Learning Systems. - Minh N. H. Nguyen; Shashi Raj Pandey; Nguyen Dang Tri; Eui-Nam Huh; Nguyen Hoang Tran; Walid Saad; Choong Seon Hong (IEEE Trans. Neural Networks Learn. Syst., 2023)

LW-FedSSL: Resource-efficient Layer-wise Federated Self-supervised Learning. - Ye Lin Tun 001; Chu Myaet Thwal; Le Quang Huy; Minh N. H. Nguyen; Choong Seon Hong (CoRR, 2024)

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)

CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance. - Chu Myaet Thwal; Ye Lin Tun 001; Minh N. H. Nguyen; Eui-Nam Huh; 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)

OnDev-LCT: On-Device Lightweight Convolutional Transformers towards federated learning. - Chu Myaet Thwal; Minh N. H. Nguyen; Ye Lin Tun 001; Seong Tae Kim 001; My T. Thai; Choong Seon Hong (Neural Networks, 2024)

Swin Transformer-Based Dynamic Semantic Communication for Multi-User With Different Computing Capacity. - Loc X. Nguyen; Ye Lin Tun 001; Yan Kyaw Tun; Minh N. H. Nguyen; Chaoning Zhang; Zhu Han 001; Choong Seon Hong (IEEE Trans. Veh. Technol., 2024)

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)

Resource-Efficient Federated Multimodal Learning via Layer-Wise and Progressive Training. - Ye Lin Tun 001; Chu Myaet Thwal; Minh N. H. Nguyen; Choong Seon Hong (IEEE Internet Things J., 2025)