Canh T. Dinh

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 15

Top Topics

Multiview Video Coding

Fine Granularity

Reinforcement Learning

Representer Theorem

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

IEEE Commun. Lett.

IEEE/ACM Trans. Netw.

Publications

Canh T. Dinh, Tung Thanh Vu, Nguyen Hoang Tran, Minh N. Dao, Hongyu Zhang
A New Look and Convergence Rate of Federated Multitask Learning With Laplacian Regularization. IEEE Trans. Neural Networks Learn. Syst. 35 (6) (2024)
Phuong Luu Vo, Nghia T. Nguyen, Long Luu, Canh T. Dinh, Nguyen Hoang Tran, Tuan-Anh Le
Federated Deep Reinforcement Learning - Based Bitrate Adaptation for Dynamic Adaptive Streaming over HTTP. ACIIDS (Companion) (2023)
Phuong Luu Vo, Nghia T. Nguyen, Long Luu, Canh T. Dinh, Nguyen Hoang Tran, Tuan-Anh Le
Federated Deep Reinforcement Learning-based Bitrate Adaptation for Dynamic Adaptive Streaming over HTTP. CoRR (2023)
Tung-Anh Nguyen, Tuan Dung Nguyen, Long Tan Le, Canh T. Dinh, Nguyen Hoang Tran
On the Generalization of Wasserstein Robust Federated Learning. CoRR (2022)
Tung Thanh Vu, Trinh Van Chien, Canh T. Dinh, Hien Quoc Ngo, Michail Matthaiou
Channel Estimation in RIS-assisted Downlink Massive MIMO: A Learning-Based Approach. CoRR (2022)
Canh T. Dinh, Nguyen Hoang Tran, Tuan Dung Nguyen, Wei Bao, Amir Rezaei Balef, Bing Bing Zhou, Albert Y. Zomaya
DONE: Distributed Approximate Newton-type Method for Federated Edge Learning. IEEE Trans. Parallel Distributed Syst. 33 (11) (2022)
Tung Thanh Vu, Trinh Van Chien, Canh T. Dinh, Hien Quoc Ngo, Michail Matthaiou
Channel Estimation in RIS-assisted Downlink Massive MIMO: A Learning-Based Approach. SPAWC (2022)
Canh T. Dinh, Nguyen H. Tran, Minh N. H. Nguyen, Choong Seon Hong, Wei Bao, Albert Y. Zomaya, Vincent Gramoli
Federated Learning Over Wireless Networks: Convergence Analysis and Resource Allocation. IEEE/ACM Trans. Netw. 29 (1) (2021)
Canh T. Dinh, Tung Thanh Vu, Nguyen H. Tran, Minh N. Dao, Hongyu Zhang
FedU: A Unified Framework for Federated Multi-Task Learning with Laplacian Regularization. CoRR (2021)
Tuan Dung Nguyen, Amir Rezaei Balef, Canh T. Dinh, Nguyen H. Tran, Duy T. Ngo, Tuan Anh Le, Phuong Luu Vo
Accelerating Federated Edge Learning. IEEE Commun. Lett. 25 (10) (2021)
Canh T. Dinh, Nguyen H. Tran, Tuan Dung Nguyen
Personalized Federated Learning with Moreau Envelopes. CoRR (2020)
Canh T. Dinh, Nguyen H. Tran, Tuan Dung Nguyen, Wei Bao, Albert Y. Zomaya, Bing Bing Zhou
Federated Learning with Proximal Stochastic Variance Reduced Gradient Algorithms. ICPP (2020)
Canh T. Dinh, Nguyen H. Tran, Tuan Dung Nguyen, Wei Bao, Amir Rezaei Balef
DONE: Distributed Newton-type Method for Federated Edge Learning. CoRR (2020)
Canh T. Dinh, Nguyen H. Tran, Tuan Dung Nguyen
Personalized Federated Learning with Moreau Envelopes. NeurIPS (2020)
Canh T. Dinh, Nguyen H. Tran, Minh N. H. Nguyen, Choong Seon Hong, Wei Bao, Albert Y. Zomaya, Vincent Gramoli
Federated Learning over Wireless Networks: Convergence Analysis and Resource Allocation. CoRR (2019)