Nguyen H. Tran

Nguyen H. Tran 

Nguyen Hoang Tran (Trần Hoàng Nguyên in Vietnamese)
Senior Lecturer
School of Computer Science
The University of Sydney


Rm 428, J12 Building, The University of Sydney,
1 Cleveland Street, Darlington, NSW 2006, Australia,
E-mail: nguyen[dot]tran[at]sydney[dot]edu[dot]au
Tel: +61-02-8627-7221


Selected Publications (Full Publications)

  • Federated/Distributed Machine Learning

  1. Canh T. Dinh, Nguyen H. Tran, Tuan Dung Nguyen, ‘‘Personalized Federated Learning with Moreau Envelopes," [pdf] [code], NeurIPS, 2020.

  2. Canh T. Dinh, Nguyen H. Tran, et al., ‘‘Federated Learning over Wireless Networks: Convergence Analysis and Resource Allocation," IEEE/ACM Transactions on Networking, [pdf] [code].

  3. Minh N. H. Nguyen, Shashi Raj Pandey, Kyi Thar, Eui-Nam Huh, Nguyen H. Tran, Mingzhe Chen, Walid Saad, Choong Seon Hong, ‘‘Distributed and Democratized Learning: Philosophy and Research Challenges," IEEE Computational Intelligence Magazine, 2020.

  4. Minh N. H. Nguyen, Nguyen H. Tran, Yan Tun, Zhu Han, Choong Seon Hong, ‘‘Toward Multiple Federated Learning Services Resource Sharing in Mobile Edge Networks," 2020.

  5. Minh N. H. Nguyen, Shashi Raj Pandey, Tri Nguyen Dang, Eui-Nam Huh, Choong Seon Hong, Nguyen H. Tran, Walid Saad, ‘‘Self-organizing Democratized Learning: Towards Large-scale Distributed Learning Systems," [pdf].

  6. Tung T. Vu, Duy T. Ngo, Hien Quoc Ngo, Minh N. Dao, Nguyen H. Tran, Richard H. Middleton, ‘‘User Selection Approaches to Mitigate the Straggler Effect for Federated Learning on Cell-Free Massive MIMO Networks" [pdf].

  7. Zhengjie Yang, Wei Bao, Dong Yuan, Nguyen H. Tran, and Albert Y. Zomaya, ‘‘Federated Learning with Nesterov Accelerated Gradient Momentum Method’’ [pdf].

  8. Tra Le, Nguyen H. Tran, et al., ‘‘An Incentive Mechanism for Federated Learning in Wireless Cellular Network: An Auction Approach’’, [pdf].

  9. Canh T. Dinh, Nguyen H. Tran, Tuan Dung Nguyen, Wei Bao, Albert Zomaya, Bing Zhou, ‘‘Federated Learning with Proximal Stochastic Variance Reduced Gradient Algorithms’’, ICPP 2020, Edmonton, Canada, Aug. 2020, [pdf] [video].

  10. Tung T. Vu, Duy T. Ngo, Nguyen H. Tran, Hien Quoc Ngo, Minh N. Dao, Richard H. Middleton, ‘‘Cell-Free Massive MIMO for Wireless Federated Learning’’, IEEE Transactions on Wireless Communication, [pdf].

  11. Shashi Raj Pandey, Nguyen H. Tran, Mehdi Bennis, Yan Kyaw Tun, Aunas Manzoor, Choong Seon Hong ‘‘A Crowdsourcing Framework for On-Device Federated Learning’’, IEEE Transactions on Wireless Communication, 2020, [pdf].

  12. Latif, Nguyen H. Tran, et al., ‘‘Federated Learning for Edge Networks: Resource Optimization and Incentive Mechanism’’, IEEE Communication Magazine, 2020, [pdf].

  13. Nguyen H. Tran, Wei Bao, Albert Zomaya, Minh N.H. Nguyen, Choong Seon Hong, ‘‘Federated Learning over Wireless Networks: Optimization Model Design and Analysis", IEEE INFOCOM 2019, Paris, France, April 2019, [pdf].

About me

Nguyen H. Tran (S’10-M’11-SM’18) received BS and Ph.D degrees, from HCMC University of Technology and Kyung Hee University, in electrical and computer engineering, in 2005 and 2011, respectively. He was an Assistant Professor with Department of Computer Science and Engineering, Kyung Hee University, from 2012 to 2017. Since 2018, he has been with the School of Computer Science, The University of Sydney, where he is currently a Senior Lecturer. His research interests include distributed computing, machine learning, and networking. He received the best KHU thesis award in engineering in 2011 and several best paper awards, including IEEE ICC 2016 and ACM MSWiM 2019. He receives the Korea NRF Funding for Basic Science and Research 2016-2023 and ARC Discovery Project 2020-2023. He was an Editor of IEEE Transactions on Green Communications and Networking from 2016 to 2020, and an Associate Editor of IEEE Journal of Selected Areas in Communications 2020 in the area of distributed machine learning/Federated Learning.