Do-Van Nguyen

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 8

Top Topics

Probability Distribution

Indoor Environments

Reinforcement Learning

Recurrent Neural Networks

Top Venues

Publications

Tran Anh Khoa, Minh-Son Dao, Do-Van Nguyen, Koji Zettsu
Clustering-Enhanced Reinforcement Learning for Adaptive Offloading in Resource-Constrained Devices. SMARTCOMP (2024)
Tran Anh Khoa, Do-Van Nguyen, Minh-Son Dao, Koji Zettsu
AOP: Towards Adaptive Offloading Point Approach in a Federated Learning Framework for Edge AI Applications. ICPADS (2023)
Tran Anh Khoa, Do-Van Nguyen, Minh-Son Dao, Koji Zettsu
splitDyn: Federated Split Neural Network for Distributed Edge AI Applications. Big Data (2022)
Tran Anh Khoa, Do-Van Nguyen, Phuoc Van Nguyen Thi, Koji Zettsu
FedMCRNN: Federated Learning using Multiple Convolutional Recurrent Neural Networks for Sleep Quality Prediction. ICDAR@ICMR (2022)
Do-Van Nguyen, Anh-Khoa Tran, Koji Zettsu
FedProb: An Aggregation Method Based on Feature Probability Distribution for Federated Learning on Non-IID Data. Big Data (2022)
Tran Anh Khoa, Do-Van Nguyen, Minh-Son Dao, Koji Zettsu
Fed xData: A Federated Learning Framework for Enabling Contextual Health Monitoring in a Cloud-Edge Network. IEEE BigData (2021)
Hung The Nguyen, Tung Nguyen, Do-Van Nguyen, Thanh-Ha Le
A Hierarchical Deep Deterministic Policy Gradients for Swarm Navigation. KSE (2019)
Tai-Long Nguyen, Do-Van Nguyen, Thanh-Ha Le
Reinforcement Learning Based Navigation with Semantic Knowledge of Indoor Environments. KSE (2019)