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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
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Posts
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publications
Personalized Federated Learning with Moreau Envelopes
Published in Neurips, 2020
Personalized Federated Learning with Moreau Envelopes.
Recommended citation: Canh T. Dinh, Nguyen H. Tran, Tuan Dung Nguyen, (2020). "Personalized Federated Learning with Moreau Envelopes." Neurips 2020). https://proceedings.neurips.cc/paper/2020/file/f4f1f13c8289ac1b1ee0ff176b56fc60-Paper.pdf
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.