Computation and Communication Efficient Federated Unlearning via On-server Gradient Conflict Mitigation and Expression
Minh-Duong Nguyen, Senura Wanasekara, Le-Tuan Nguyen, Quoc-Viet Pham, Ken-Tye Yong, Nguyen H. Tran, Dung D. Le
Conference
hot
Research work
The work.
Research from the DUAL Group.
Code lives on github.com/dual-grp ↗
17 indexed
2026
/ 7 itemsDistributionally Robust Wireless Semantic Communication with Large AI Models
Long Tan Le, Senura Hansaja Wanasekara, Zerun Niu, Nguyen H. Tran, Phuong Vo, Walid Saad, Dusit Niyato, Zhu Han, Choong Seon Hong, H. Vincent Poor
Journal
hot
FAVoR: Measuring and Mitigating Author-Style Homogenization in Federated Personalized Generation
Lu Han, Jingyao Zhang, Katy Ilonka Gero, Nguyen H. Tran
Conference
Accepted at EMNLP 2026
Federated Koopman-Reservoir Learning for Multivariate Time-Series Anomaly Detection in IoT
Long Tan Le, Junming Huang, Nhat Huy Le, Han Shu, Zilong Jin, Nguyen Binh Truong, Nguyen H. Tran, Zhu Han, Choong Seon Hong
Journal
FORCE: Federated Orthogonality-Aware Low-Rank Adaptation for Communication-Efficient Fine-Tuning
Van Quan La, Junming Huang, Nhat Huy Le, Phuong Tran, Tung-Anh Nguyen, Phuong L. Vo, Bing B. Zhou, Nguyen H. Tran
Journal
GoodSpeed: Optimizing Fair Goodput with Adaptive Speculative Decoding in Distributed Edge Inference
Phuong Tran, Tzu-Hao Liu, Long Tan Le, Tung-Anh Nguyen, Van Quan La, Eason Yu, Han Shu, Choong Seon Hong, Nguyen H. Tran
Conference
hot
NashPG: A Policy Gradient Method with Iteratively Refined Regularization for Finding Nash Equilibria
Eason Yu, Tzu-Hao Liu, Clément L. Canonne, Yunke Wang, Chang Xu, Nguyen H. Tran, Stefano V. Albrecht
Journal
2025
/ 1 itemFederated Koopman-Reservoir Learning for Large-Scale Multivariate Time-Series Anomaly Detection
Long Tan Le, Tung-Anh Nguyen, Han Shu, Suranga Seneviratne, Choong Seon Hong, Nguyen H. Tran
Conference
2024
/ 4 itemsDistributionally Robust Federated Learning for Mobile Edge Networks
Long Tan Le, Tung-Anh Nguyen, Tuan-Dung Nguyen, Nguyen H. Tran, Nguyen Binh Truong, Phuong L. Vo, Bui Thanh Hung, Tuan Anh Le
Journal
Federated Deep Equilibrium Learning: Harnessing Compact Global Representations to Enhance Personalization
Long Tan Le, Tuan Dung Nguyen, Tung-Anh Nguyen, Choong Seon Hong, Suranga Seneviratne, Wei Bao, Nguyen H. Tran
Conference
Federated PCA on Grassmann Manifold for IoT Anomaly Detection
Tung-Anh Nguyen, Long Tan Le, Tuan Dung Nguyen, Wei Bao, Suranga Seneviratne, Choong Seon Hong, Nguyen H. Tran
Journal
iREPO: Implicit Reward Pairwise Difference based Empirical Preference Optimization
Long Tan Le, Han Shu, Tung-Anh Nguyen, Choong Seon Hong, Nguyen H. Tran
arXiv
arXiv preprint
2023
/ 2 itemsA New Look and Convergence Rate of Federated Multitask Learning With Laplacian Regularization
Canh T. Dinh, Tung T. Vu, Nguyen H. Tran, Minh N. Dao, Hongyu Zhang
Journal
IEEE Transactions on Neural Networks and Learning Systems, 2023
Federated PCA on Grassmann Manifold for Anomaly Detection in IoT Networks
Tung-Anh Nguyen, Jiayu He, Long Tan Le, Wei Bao, Nguyen H. Tran
Conference
2022
/ 1 itemOn the Generalization of Wasserstein Robust Federated Learning
Tung-Anh Nguyen, Tuan Dung Nguyen, Long Tan Le, Canh T. Dinh, Nguyen H. Tran
arXiv
arXiv preprint
2020
/ 2 itemsFederated Learning over Wireless Networks: Convergence Analysis and Resource Allocation
Canh T. Dinh, Nguyen H. Tran, Minh N. H. Nguyen, Choong Seon Hong, Wei Bao, Albert Y. Zomaya, Vincent Gramoli
Journal
Personalized Federated Learning with Moreau Envelopes
Canh T. Dinh, Nguyen H. Tran, Tuan Dung Nguyen
Conference
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