Canh T. Dinh

Canh T. Dinh

Phd Candidate at The University of Sydney

Publications

A New Look and Convergence Rate of Federated Multi-Task Learning with Laplacian Regularization

Published in IEEE Transactions on Neural Networks and Learning Systems, 2022

FedU: A New Look and Convergence Rate of Federated Multi-Task Learning with Laplacian Regularization

Recommended citation: Canh T. Dinh, Tung T. Vu, Nguyen H. Tran, Minh N. Dao, Hongyu Zhang, (2022). "A New Look and Convergence Rate of Federated Multi-Task Learning with Laplacian Regularization." Under review (minor revision) IEEE Transactions on Neural Networks and Learning Systems. https://arxiv.org/pdf/2102.07148.pdf

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

Published in IEEE Transactionson Parallel and Distributed Systems, 2022

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

Recommended citation: Canh T. Dinh, Nguyen H. Tran, Tuan Dung Nguyen, Amir Rezaei Balef, Wei Bao, Bing B. Zhou, and Albert Y. Zomaya, (2022). "DONE: Distributed Approximate Newton-type Method for Federated Edge Learning." IEEE Transactions on Parallel and Distributed Systems. https://ieeexplore.ieee.org/abstract/document/9695269

Federated Learning over Wireless Networks: Convergence Analysis and Resource Allocation

Published in Transaction on Networking, 2020

Federated Learning with Proximal Stochastic Variance Reduced Gradient Algorithms.

Recommended citation: Canh T. Dinh, Nguyen H. Tran, Minh N. H. Nguyen, Choong Seon Hong, Wei Bao, Albert Y. Zomaya, and Vincent Gramoli, (2020). "Federated Learning over Wireless Networks: Convergence Analysis and Resource Allocation." IEEE/ACM Transactions on Networking. https://ieeexplore.ieee.org/document/9261995

Federated Learning with Proximal Stochastic Variance Reduced Gradient Algorithms

Published in International Conference on Parallel Processing, 2020

Federated Learning with Proximal Stochastic Variance Reduced Gradient Algorithms.

Recommended citation: Canh T. Dinh, Nguyen H. Tran, Tuan Dung Nguyen, Wei Bao, Albert Y. Zomaya, Bing B. Zhou, (2020). "Federated Learning with Proximal Stochastic Variance Reduced Gradient Algorithms." International Conference on Parallel Processing (ICPP)-2020. https://dl.acm.org/doi/10.1145/3404397.3404457