Posts by Collection

publications

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

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

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

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

teaching

Teaching Assistant in HUST

Teaching Assistant, Ha Noi University of Science and Technology, 2015

2015: Being a tutor and teaching assistant at Ha Noi University of Science and Technology

Teaching Assistant and Tutor in USYD

Teaching assistant and tutor, The University of Sydney, Computer Science, 2019

From Fed 2019 to Current: Being a tutor and teaching assistant of Machine Learning and Data Mining subject (COMP5318) and Distributed System subject (COMP3221) in USYD.