Federated Learning with Proximal Stochastic Variance Reduced Gradient Algorithms. - Canh T. Dinh; Nguyen Hoang Tran; Tuan Dung Nguyen; Wei Bao 001; Albert Y. Zomaya; Bing Bing Zhou (ICPP, 2020)

Personalized Federated Learning with Moreau Envelopes. - Canh T. Dinh; Nguyen Hoang Tran; Tuan Dung Nguyen (NeurIPS, 2020)

DONE: Distributed Newton-type Method for Federated Edge Learning. - Canh T. Dinh; Nguyen Hoang Tran; Tuan Dung Nguyen; Wei Bao 001; Amir Rezaei Balef (CoRR, 2020)

FedU: A Unified Framework for Federated Multi-Task Learning with Laplacian Regularization. - Canh T. Dinh; Tung Thanh Vu; Nguyen Hoang Tran; Minh N. Dao; Hongyu Zhang 002 (CoRR, 2021)

Accelerating Federated Edge Learning. - Tuan Dung Nguyen; Amir Rezaei Balef; Canh T. Dinh; Nguyen Hoang Tran; Duy T. Ngo; Tuan Anh Le; Phuong Luu Vo (IEEE Commun. Lett., 2021)

Federated Learning Over Wireless Networks: Convergence Analysis and Resource Allocation. - Canh T. Dinh; Nguyen Hoang Tran; Minh N. H. Nguyen; Choong Seon Hong; Wei Bao 001; Albert Y. Zomaya; Vincent Gramoli (IEEE/ACM Trans. Netw., 2021)

Channel Estimation in RIS-assisted Downlink Massive MIMO: A Learning-Based Approach. - Tung Thanh Vu; Trinh Van Chien; Canh T. Dinh; Hien Quoc Ngo; Michail Matthaiou (SPAWC, 2022)

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)

DONE: Distributed Approximate Newton-type Method for Federated Edge Learning. - Canh T. Dinh; Nguyen Hoang Tran; Tuan Dung Nguyen; Wei Bao 001; Amir Rezaei Balef; Bing Bing Zhou; Albert Y. Zomaya (IEEE Trans. Parallel Distributed Syst., 2022)

Federated Deep Reinforcement Learning - Based Bitrate Adaptation for Dynamic Adaptive Streaming over HTTP. - Phuong Luu Vo; Nghia T. Nguyen; Long Luu; Canh T. Dinh; Nguyen Hoang Tran; Tuan-Anh Le (ACIIDS (Companion), 2023)

A New Look and Convergence Rate of Federated Multitask Learning With Laplacian Regularization. - Canh T. Dinh; Tung Thanh Vu; Nguyen Hoang Tran; Minh N. Dao; Hongyu Zhang 002 (IEEE Trans. Neural Networks Learn. Syst., 2024)