Canh T. Dinh

15 papers A* 1B 1Journal 11Unranked 2
YearRankTypeTitle / Venue / Authors
2024 J jnl
A New Look and Convergence Rate of Federated Multitask Learning With Laplacian Regularization.
IEEE Trans. Neural Networks Learn. Syst.
Canh T. Dinh, Tung Thanh Vu, Nguyen Hoang Tran, Minh N. Dao, Hongyu Zhang
2023 — conf
Federated Deep Reinforcement Learning - Based Bitrate Adaptation for Dynamic Adaptive Streaming over HTTP.
ACIIDS (Companion)
Phuong Luu Vo, Nghia T. Nguyen, Long Luu, Canh T. Dinh, Nguyen Hoang Tran, Tuan-Anh Le
2023 J jnl
Federated Deep Reinforcement Learning-based Bitrate Adaptation for Dynamic Adaptive Streaming over HTTP.
CoRR
Phuong Luu Vo, Nghia T. Nguyen, Long Luu, Canh T. Dinh, Nguyen Hoang Tran, Tuan-Anh Le
2022 — conf
Channel Estimation in RIS-assisted Downlink Massive MIMO: A Learning-Based Approach.
SPAWC
Tung Thanh Vu, Trinh Van Chien, Canh T. Dinh, Hien Quoc Ngo, Michail Matthaiou
2022 J jnl
Channel Estimation in RIS-assisted Downlink Massive MIMO: A Learning-Based Approach.
CoRR
Tung Thanh Vu, Trinh Van Chien, Canh T. Dinh, Hien Quoc Ngo, Michail Matthaiou
2022 J jnl
DONE: Distributed Approximate Newton-type Method for Federated Edge Learning.
IEEE Trans. Parallel Distributed Syst.
Canh T. Dinh, Nguyen Hoang Tran, Tuan Dung Nguyen, Wei Bao, Amir Rezaei Balef, Bing Bing Zhou, Albert Y. Zomaya
2022 J jnl
On the Generalization of Wasserstein Robust Federated Learning.
CoRR
Tung-Anh Nguyen, Tuan Dung Nguyen, Long Tan Le, Canh T. Dinh, Nguyen Hoang Tran
2021 J jnl
Accelerating Federated Edge Learning.
IEEE Commun. Lett.
Tuan Dung Nguyen, Amir Rezaei Balef, Canh T. Dinh, Nguyen Hoang Tran, Duy T. Ngo, Tuan Anh Le, Phuong Luu Vo
2021 J jnl
FedU: A Unified Framework for Federated Multi-Task Learning with Laplacian Regularization.
CoRR
Canh T. Dinh, Tung Thanh Vu, Nguyen Hoang Tran, Minh N. Dao, Hongyu Zhang
2021 J jnl
Federated Learning Over Wireless Networks: Convergence Analysis and Resource Allocation.
IEEE/ACM Trans. Netw.
Canh T. Dinh, Nguyen Hoang Tran, Minh N. H. Nguyen, Choong Seon Hong, Wei Bao, Albert Y. Zomaya, Vincent Gramoli
2020 J jnl
DONE: Distributed Newton-type Method for Federated Edge Learning.
CoRR
Canh T. Dinh, Nguyen Hoang Tran, Tuan Dung Nguyen, Wei Bao, Amir Rezaei Balef
2020 B conf
Federated Learning with Proximal Stochastic Variance Reduced Gradient Algorithms.
ICPP
Canh T. Dinh, Nguyen Hoang Tran, Tuan Dung Nguyen, Wei Bao, Albert Y. Zomaya, Bing Bing Zhou
2020 A* conf
Personalized Federated Learning with Moreau Envelopes.
NeurIPS
Canh T. Dinh, Nguyen Hoang Tran, Tuan Dung Nguyen
2020 J jnl
Personalized Federated Learning with Moreau Envelopes.
CoRR
Canh T. Dinh, Nguyen Hoang Tran, Tuan Dung Nguyen
2019 J jnl
Federated Learning over Wireless Networks: Convergence Analysis and Resource Allocation.
CoRR
Canh T. Dinh, Nguyen Hoang Tran, Minh N. H. Nguyen, Choong Seon Hong, Wei Bao, Albert Y. Zomaya, Vincent Gramoli