Dr Dongzhu Liu

  • Lecturer in Cybersecurity (School of Computing Science)

email: Dongzhu.Liu@glasgow.ac.uk

SAWB 510(b) Sir Alwyn Williams Building, University of Glasgow, Glasgow City, Scotland, United Kingdom, G12 8RZ

Import to contacts

ORCID iDhttps://orcid.org/0000-0001-7820-9531

Biography

I am a lecturer at System Section (GLASS), School of Computing Science, University of Glasgow. I received the PhD degree from the University of Hong Kong, under the supervision of Prof. Kaibin Huang in 2019, and the B.Eng. degree from the University of Electronic Science and Technology of China (UESTC) in 2015. Prior to joining University of Glasgow, I was a postdoctoral research associate at the Department of Engineering, King's College London, working with Prof. Osvaldo Simeone.

 

Research interests

  • Communication-Efficient Federated Learning
  • Differential Privacy
  • Bayesian Learning 
  • Distributed Multimodal Learning 
  • Edge AI  
  • Wireless Networks 
  • Signal Processing 

[Google Scholar] 

[Personal Website]

Publications

List by: Type | Date

Jump to: 2023
Number of items: 3.

2023

Zhang, B., Liu, D. , Simeone, O. and Zhu, G. (2023) Bayesian Over-the-Air FedAvg via Channel Driven Stochastic Gradient Langevin Dynamics. In: IEEE Global Communications Conference (GLOBECOM 2023), Kuala Lumpur, Malaysia, 4–8 Dec 2023, (Accepted for Publication)

Xing, H., Zhu, G., Liu, D. , Wen, H., Huang, K. and Wu, K. (2023) Task-oriented integrated sensing, computation and communication for wireless edge AI. IEEE Network, (Accepted for Publication)

Liu, D. and Simeone, O. (2023) Wireless federated Langevin Monte Carlo: repurposing channel noise for Bayesian sampling and privacy. IEEE Transactions on Wireless Communications, 22(5), pp. 2946-2961. (doi: 10.1109/TWC.2022.3215663)

This list was generated on Sun Dec 10 09:22:50 2023 GMT.
Jump to: Articles | Conference Proceedings
Number of items: 3.

Articles

Xing, H., Zhu, G., Liu, D. , Wen, H., Huang, K. and Wu, K. (2023) Task-oriented integrated sensing, computation and communication for wireless edge AI. IEEE Network, (Accepted for Publication)

Liu, D. and Simeone, O. (2023) Wireless federated Langevin Monte Carlo: repurposing channel noise for Bayesian sampling and privacy. IEEE Transactions on Wireless Communications, 22(5), pp. 2946-2961. (doi: 10.1109/TWC.2022.3215663)

Conference Proceedings

Zhang, B., Liu, D. , Simeone, O. and Zhu, G. (2023) Bayesian Over-the-Air FedAvg via Channel Driven Stochastic Gradient Langevin Dynamics. In: IEEE Global Communications Conference (GLOBECOM 2023), Kuala Lumpur, Malaysia, 4–8 Dec 2023, (Accepted for Publication)

This list was generated on Sun Dec 10 09:22:50 2023 GMT.

Supervision

  • ZHANG, Boning
    Federated Learning for Heterogeneous Models with Knowledge Transfer: Algorithm Design and Performance Analysis

Teaching

  • COMPSCI 4062/5063 Cyber Security Fundamentals, Spring 2022, 2023.
  • COMPSCI 4046 Professional Software Development H and Team Projects 2022-2023. 
  • COMPSCI 5110 Emerging Topics in Cyber Security, Spring 2022.

Additional information

Services

Technical Program Committee

  • IEEE Globecom 2022, 2021
  • IEEE ICC 2023, 2021
  • IEEE PIMRC 2021

Technical Review

  • IEEE Journal on Selected Areas in Communications (JSAC)
  • IEEE Wireless Communications Magazine
  • IEEE Transactions on Wireless Communications (TWC)
  • IEEE Transactions on Communications (TCom)
  • IEEE Transactions on Green Communications and Networking (TGCN)
  • IEEE Communications Letters (CL)
  • IEEE Wireless Communications Letters (WCL)
  • IEEE International Symposium on Information Theory (ISIT)
  • IEEE International Conference on Communications (ICC)
  • IEEE Global Communications Conference (Globecom)
  • IEEE International Workshop on Signal Processing Advances in Wireless Comm. (SPAWC)
  • IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
  • IEEE Information Theory Workshop (ITW)