![]() ![]() Including IEEE ICC 2016 and ACM MSWiM 2019. His research group has special interests in Distributed compUting, optimizAtion, and machine Learning (DUAL group). He was an Assistant Professor with Department of Computer Science and Engineering, Kyung Hee University, from 2012 to 2017. Dr Tran is an Associate Professor at the School of Computer Science, The University of Sydney. Tran (S’10-M’11-SM’18) received BS and PhD degrees (with best PhD thesis award in 2011), from HCMC University of Technology and Kyung Hee University, in electrical and computer engineering, Nguyen, Choong Seon Hong, ‘‘Federated Learning over Wireless Networks: Optimization Model Design and Analysis", IEEE INFOCOM 2019, Paris, France, April 2019. Tran, et al., ‘‘Federated Learning for Edge Networks: Resource Optimization and Incentive Mechanism’’, IEEE Communication Magazine, 2020. 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. Middleton, ‘‘Cell-Free Massive MIMO for Wireless Federated Learning’’, IEEE Transactions on Wireless Communication. Tran, Tuan Dung Nguyen, Wei Bao, Albert Zomaya, Bing Zhou, ‘‘Federated Learning with Proximal Stochastic Variance Reduced Gradient Algorithms’’, ICPP 2020, Edmonton, Canada, Aug. Tran, et al., ‘‘An Incentive Mechanism for Federated Learning in Wireless Cellular Network: An Auction Approach’’, IEEE Transactions on Wireless Communication. Zomaya, ‘‘Federated Learning with Nesterov Accelerated Gradient Momentum Method’’. Zhengjie Yang, Wei Bao, Dong Yuan, Nguyen H. Middleton, ‘‘User Selection Approaches to Mitigate the Straggler Effect for Federated Learning on Cell-Free Massive MIMO Networks". Learning: Towards Large-scale Distributed Learning Systems,". Tran, Walid Saad, ‘‘Self-organizing Democratized Nguyen, Shashi Raj Pandey, Tri Nguyen Dang, Eui-Nam Huh, Choong Seon Hong, Nguyen H. ![]() Tran, Yan Tun, Zhu Han, Choong Seon Hong, ‘‘Toward Multiple Federated Learning Services Resource Sharing in Mobile Edge Networks," 2020. Tran, Mingzhe Chen, Walid Saad, Choong Seon Hong, ‘‘Distributed andĭemocratized Learning: Philosophy and Research Challenges," IEEE Computational Intelligence Magazine, 2020 Nguyen, Shashi Raj Pandey, Kyi Thar, Eui-Nam Huh, Nguyen H. Tran, et al., ‘‘Federated Learning over Wireless Networks: Convergence Analysis and Resource Allocation," IEEE/ACM Transactions on Networking. Tran, Tuan Dung Nguyen, ‘‘Personalized Federated Learning with Moreau Envelopes,", NeurIPS, 2020.Ĭanh T. Tran, Tuan Dung Nguyen, Wei Bao, Amir Rezaei Balef, ‘‘DONE: Distributed Approximate Newton-type Method for Federated Edge Learning,", 2021.Ĭanh T. Dao, Hongyu Zhang, ‘‘FedU: A Unified Framework for Federated Multi-Task Learning with Laplacian Regularization,", 2021.Ĭanh T. Vo, ‘‘Accelerating Federated Edge Learning," IEEE Communication Letters, Aug. Tran, ‘‘Federated PCA on Grassmann Manifold for Anomaly Detection in IoT Networks,", IEEE INFOCOM, 2023. Tung-Anh Nguyen, Jiayu He, Long Tan Le, Wei Bao, Nguyen H. ![]() Selected Publications ( Full Publications) ![]() Our ARC Discovery Project 2020 got funded. I'm invited as Associate Editor of IEEE JSAC series on Machine Learning for Communications and Networks, in the area of Distributed/Federated Learning and Communications (07/20). ‘‘Personalized Federated Learning with Moreau Envelopes" accepted by NeurIPS 2020 (09/20). ‘‘Federated Learning over Wireless Networks: Optimization Model Design and Analysis" is top listed ‘‘popular’’ by IEEE INFOCOM. ‘‘FEDL’’ is accepted by IEEE/ACM Transactions on Networking (10/20). I'm invited as a Keynote Speaker at EAI WiCON 2021 (02/21). I'm invited for an expert interview on the feature topic of ‘‘Federated Learning over Wireless Networks’’ by TCCN Newsletter (11/21). I receive the prestigious Sydney Research Accelerator ( SOAR) Prize 2022-2023 (12/21). Hot! I am invited as an Editor of the newly founded journal IEEE Transactions on Machine Learning in Communications Networking (08/22). Hot! I am invited as a TPC member of ACM SIGMETRICS’23 (11/22). Hot! “Federated PCA on Grassmann Manifold for Anomaly Detection in IoT Networks” accepted by IEEE INFOCOM 2023 (12/22). Hot! I am promoted to Associate Professor (01/23). ![]()
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