Canh T. Dinh

According to our database, Canh T. Dinh authored at least 11 papers between 2020 and 2024.

Collaborative distances:

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

2024

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

IEEE Trans. Neural Networks Learn. Syst., June, 2024

2023

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

Proceedings of the Recent Challenges in Intelligent Information and Database Systems, 2023

2022

DONE: Distributed Approximate Newton-type Method for Federated Edge Learning.

Canh T. Dinh, Nguyen Hoang Tran, Tuan Dung Nguyen, Wei Bao, Amir Rezaei Balef, Bing Bing Zhou, Albert Y. Zomaya

IEEE Trans. Parallel Distributed Syst., 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

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

Proceedings of the 23rd IEEE International Workshop on Signal Processing Advances in Wireless Communication, 2022

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, Albert Y. Zomaya, Vincent Gramoli

IEEE/ACM Trans. Netw., 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

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

CoRR, 2021

2020

DONE: Distributed Newton-type Method for Federated Edge Learning.

Canh T. Dinh, Nguyen Hoang Tran, Tuan Dung Nguyen, Wei Bao, Amir Rezaei Balef

CoRR, 2020

Personalized Federated Learning with Moreau Envelopes.

Canh T. Dinh, Nguyen Hoang Tran, Tuan Dung Nguyen

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Federated Learning with Proximal Stochastic Variance Reduced Gradient Algorithms.

Canh T. Dinh, Nguyen Hoang Tran, Tuan Dung Nguyen, Wei Bao, Albert Y. Zomaya, Bing Bing Zhou

Proceedings of the ICPP 2020: 49th International Conference on Parallel Processing, 2020