Minh N. H. Nguyen

Orcid: 0000-0002-3035-0816

Affiliations:
  • Kyung Hee University, Korea
  • The University of Danang, Vietnam


According to our database1, Minh N. H. Nguyen authored at least 31 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
Cross-Modal Prototype based Multimodal Federated Learning under Severely Missing Modality.
CoRR, 2024

OnDev-LCT: On-Device Lightweight Convolutional Transformers towards federated learning.
CoRR, 2024

LW-FedSSL: Resource-efficient Layer-wise Federated Self-supervised Learning.
CoRR, 2024

2023
Self-Organizing Democratized Learning: Toward Large-Scale Distributed Learning Systems.
IEEE Trans. Neural Networks Learn. Syst., December, 2023

Contrastive encoder pre-training-based clustered federated learning for heterogeneous data.
Neural Networks, August, 2023

Toward Multiple Federated Learning Services Resource Sharing in Mobile Edge Networks.
IEEE Trans. Mob. Comput., 2023

FedMEKT: Distillation-based Embedding Knowledge Transfer for Multimodal Federated Learning.
CoRR, 2023

Swin Transformer-Based Dynamic Semantic Communication for Multi-User with Different Computing Capacity.
CoRR, 2023

2022
Edge-Assisted Democratized Learning Toward Federated Analytics.
IEEE Internet Things J., 2022

CDKT-FL: Cross-Device Knowledge Transfer using Proxy Dataset in Federated Learning.
CoRR, 2022

2021
An Incentive Mechanism for Federated Learning in Wireless Cellular Networks: An Auction Approach.
IEEE Trans. Wirel. Commun., 2021

Federated Learning Over Wireless Networks: Convergence Analysis and Resource Allocation.
IEEE/ACM Trans. Netw., 2021

Distributed and Democratized Learning: Philosophy and Research Challenges.
IEEE Comput. Intell. Mag., 2021

Distilling Knowledge in Federated Learning.
Proceedings of the 22nd Asia-Pacific Network Operations and Management Symposium, 2021

2020
Let's Share the Resource When We're Co-Located: Colocation Edge Computing.
IEEE Trans. Veh. Technol., 2020

Edge-assisted Democratized Learning Towards Federated Analytics.
CoRR, 2020

An Incentive Mechanism for Federated Learning in Wireless Cellular network: An Auction Approach.
CoRR, 2020

Self-organizing Democratized Learning: Towards Large-scale Distributed Learning Systems.
CoRR, 2020

Federated Learning for Edge Networks: Resource Optimization and Incentive Mechanism.
IEEE Commun. Mag., 2020

2019
Federated Learning over Wireless Networks: Optimization Model Design and Analysis.
Proceedings of the 2019 IEEE Conference on Computer Communications, 2019

Joint User Association and Server Scaling in Multi-access Edge Computing.
Proceedings of the 20th Asia-Pacific Network Operations and Management Symposium, 2019

2018
Slicing the Edge: Resource Allocation for RAN Network Slicing.
IEEE Wirel. Commun. Lett., 2018

Fair Sharing of Backup Power Supply in Multi-Operator Wireless Cellular Towers.
IEEE Trans. Wirel. Commun., 2018

Incentivizing Energy Reduction for Emergency Demand Response in Multi-Tenant Mixed-Use Buildings.
IEEE Trans. Smart Grid, 2018

Multi-operator backup power sharing in wireless base stations.
Proceedings of the 2018 IEEE/IFIP Network Operations and Management Symposium, 2018

2017
Outliers detection and correction for cooperative distributed online learning in Wireless sensor network.
Proceedings of the 2017 International Conference on Information Networking, 2017

Multi-stage stackelberg game approach for colocation datacenter demand response.
Proceedings of the 19th Asia-Pacific Network Operations and Management Symposium, 2017

2016
Hosting virtual machines on a cloud datacenter: A matching theoretic approach.
Proceedings of the 2016 IEEE/IFIP Network Operations and Management Symposium, 2016

Incentive-aligned mechanism for emergency demand response in multi-tenant mixed-use buildings.
Proceedings of the IEEE Conference on Computer Communications Workshops, 2016

Hosting Virtual Machines on Distributed Datacenters.
Proceedings of the 10th International Conference on Ubiquitous Information Management and Communication, 2016

Online learning-based clustering approach for news recommendation systems.
Proceedings of the 18th Asia-Pacific Network Operations and Management Symposium, 2016


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