Duy-Dong Le

According to our database, Duy-Dong Le authored at least 16 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

SMixSL: The Smashed-Mixture Technique for Split Learning With Localizable Features.

Vo Phuc Tinh, Tran Anh Khoa, Pham Duc Lam, Nguyen Hoang Nam, Duc Ngoc Minh Dang, Duy-Dong Le, Thai-Thinh Dang, Van-Luong Nguyen, Thanh-Qui Pham, Thai-Binh Nguyen

IEEE Trans. Emerg. Top. Comput. Intell., April, 2026

SelfDistillCore: a federated learning framework with sparse updates and historical knowledge integration.

Duy-Dong Le, Tuong-Nguyen Huynh, Minh-Son Dao, Anh-Khoa Tran, Pham The Bao

PeerJ Comput. Sci., 2026

2025

FedKLEntropy: Enhancing Federated Learning via Model Entropy and Kullback-Leibler Divergence.

Duy-Dong Le, Tuong-Nguyen Huynh, Nhat Tung Le

Proceedings of the International Conference on Research in Adaptive and Convergent Systems, 2025

Correlation-Based Weighted Federated Learning with Multimodal Sensing and Knowledge Distillation: An Application on a Real-World Benchmark Dataset.

Duy-Dong Le, Duy-Thanh Huynh, Pham The Bao

Proceedings of the MultiMedia Modeling, 2025

FedIncSparse: A Federated Learning Framework with Top-K Sparse Delta Transmission and Incremental Updates.

Duy-Dong Le, Duy-Thanh Huynh, Nguyen Huynh-Tuong

Proceedings of the Multi-disciplinary Trends in Artificial Intelligence, 2025

Latency-Aware Split Learning Optimization via Genetic Algorithms.

Le Hoang Trung, Tan-Y. Nguyen, Duy-Dong Le, Thai-Thinh Dang, Tran Anh Khoa

Proceedings of the 6th Workshop on Intelligent Cross-Data Analysis and Retrieval, 2025

HCMCTrafficDataset: Enabling Smart Mobility Solutions for Motorcycle-Dense Cities with Limited Infrastructure.

Quoc-Khanh-Tuyen Nguyen, Duy-Dong Le, Minh-Son Dao

Proceedings of the IEEE International Conference on Big Data, 2025

2024

A novel solution for energy-saving and lifetime-maximizing of LoRa wireless mesh networks.

Hoang Hai Son, Vo Phuc Tinh, Duc Ngoc Minh Dang, Bui Thi Duyen, Duy-Dong Le, Thai-Thinh Dang, Nguyen Quoc Hung, Thanh-Qui Pham, Van-Luong Nguyen, Tran Anh Khoa, Nguyen Hoang Nam

J. Inf. Telecommun., January, 2024

CroSSHeteroFL: Cross-Stratified Sampling Composition-Fitting to Federated Learning for Heterogeneous Clients.

Vo Phuc Tinh, Hoang Hai Son, Nguyen Hoang Nam, Duc Ngoc Minh Dang, Duy-Dong Le, Thai-Binh Nguyen, Thanh-Qui Pham, Van-Luong Nguyen, Duy-Thanh Huynh, Tran Anh Khoa

IEEE Access, 2024

Joint Federated Learning Using Deep Segmentation and the Gaussian Mixture Model for Breast Cancer Tumors.

Nguyen Tan-Y, Pham Duc Lam, Vo Phuc Tinh, Duy-Dong Le, Nguyen Hoang Nam, Tran Anh Khoa

IEEE Access, 2024

Violence Detection in Videos based on CNN feature for ConvLSTM2D.

Tan Dat Trinh, Thanh-Sang Vu-Ngoc, Le Nhi Lam Thuy, Duy-Dong Le, Thai-Binh Nguyen, The Bao Pham

Proceedings of the Fifth Workshop on Intelligent Cross-Data Analysis and Retrieval, 2024

A Survey of Model Compression and Its Feedback Mechanism in Federated Learning.

Duy-Dong Le, Anh-Khoa Tran, The Bao Pham, Nguyen Huynh-Tuong

Proceedings of the Fifth Workshop on Intelligent Cross-Data Analysis and Retrieval, 2024

2023

Training Performance Indications for Amateur Athletes Based on Nutrition and Activity Lifelogs.

Phuc-Thinh Nguyen, Minh-Son Dao, Michael A. Riegler, Rage Uday Kiran, Thai-Thinh Dang, Duy-Dong Le, Kieu-Chinh Nguyen-Ly, Thanh-Qui Pham, Van-Luong Nguyen

Algorithms, January, 2023

Federated Learning in Smart Agriculture: An Overview.

Duy-Dong Le, Minh-Son Dao, Anh-Khoa Tran, Thai-Binh Nguyen, Hong-Gam Le-Thi

Proceedings of the 15th International Conference on Knowledge and Systems Engineering, 2023

2022

Adaptive Learning Models for Getting Insights into Multimodal Lifelog Data.

Phuc-Thinh Nguyen, Mohamed Saleem Haja Nazmudeen, Minh-Son Dao, Duy-Dong Le

Proceedings of the 14th International Conference on Knowledge and Systems Engineering, 2022

Federated Learning for Air Quality Index Prediction: An Overview.

Duy-Dong Le, Anh-Khoa Tran, Minh-Son Dao, Mohamed Saleem Haja Nazmudeen, Viet-Tiep Mai, Nhat-Ha Su

Proceedings of the 14th International Conference on Knowledge and Systems Engineering, 2022