On the Generalization of Wasserstein Robust Federated Learning. - Tung-Anh Nguyen; Tuan Dung Nguyen; Long Tan Le; Canh T. Dinh; Nguyen Hoang Tran (CoRR, 2022)

Fed-mSSA: A Federated Approach for Spatio-Temporal Data Modeling Using Multivariate Singular Spectrum Analysis. - Jiayu He; Matloob Khushi; Tung-Anh Nguyen; Nguyen Hoang Tran (ICDM, 2023)

Federated PCA on Grassmann Manifold for Anomaly Detection in IoT Networks. - Tung-Anh Nguyen; Jiayu He; Long Tan Le; Wei Bao 001; Nguyen Hoang Tran (INFOCOM, 2023)

Federated Deep Equilibrium Learning: A Compact Shared Representation for Edge Communication Efficiency. - Long Tan Le; Tuan Dung Nguyen; Tung-Anh Nguyen; Choong Seon Hong; Nguyen Hoang Tran (CoRR, 2023)

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 001; Nguyen Hoang Tran (CIKM, 2024)

iREPO: implicit Reward Pairwise Difference based Empirical Preference Optimization. - Long Tan Le; Han Shu; Tung-Anh Nguyen; Choong Seon Hong; Nguyen Hoang Tran (CoRR, 2024)

Distributionally Robust Federated Learning for Mobile Edge Networks. - Long Tan Le; Tung-Anh Nguyen; Tuan-Dung Nguyen; Nguyen Hoang Tran; Nguyen Binh Truong; Phuong L. Vo; Bui Thanh Hung; Tuan Anh Le (Mob. Networks Appl., 2024)

Federated PCA on Grassmann Manifold for IoT Anomaly Detection. - Tung-Anh Nguyen; Long Tan Le; Tuan Dung Nguyen; Wei Bao 001; Suranga Seneviratne; Choong Seon Hong; Nguyen Hoang Tran (IEEE/ACM Trans. Netw., 2024)

Federated 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 (SDM, 2025)