kt4ngw

kt4ngw

I'm Jian Tang, M.S. in progress at Chongqing University, China. Thanks for your valuable visit.

Here is Jian Tang.

I am a current M.S. student in the School of Big Data & Software at Chongqing University, Chongqing, China, supervised by Prof. Xiuhua Li.

Prior to Chongqing University, I received my B. S. degree in engineering in June 2022 from Hunan University of Technology and Business.

Any form of collaboration is welcome, so if you are interested in my research, please email me.

Recent News

  • 05/2024: Our paper about client selection and bandwidth allocation for federated learning has been submitted to the IEEE TMC for review.
  • 01/2024: Our paper about client sampling for federated learning is accepted by IEEE ICC 2024.
  • 10/2023: Our paper about client sampling for federated learning has been submitted to the IEEE ICC for review.
  • 09/2023: I obtain a class A scholarship for postgraduate of Chongqing University.
  • 01/2023: We achieve the second prize of national undergraduate mathematical contest in modeling of China.

Research Interest

My current research interests focus on efficient federated learning on mobile clients or devices in mobile edge computing networks or wireless networks, including but not limited to the following

  • Federated Learning(IEEE ICC-2024, IEEE TMC-under review)
  • Edge Intelligence / Cloud-Edge Collaboration
  • Machine Learning / Deep Learning

Selected Publications

(* denotes equal contribution, # denotes corresponding authors)

Journal

[1] Jian Tang, Xiuhua Li, Hui Li, Min Xiong, Xiaofei Wang, and Victor C. M. Leung, “Joint Class-Balanced Client Selection and Bandwidth Allocation for Cost-Efficient Federated Learning in Mobile Edge Computing Networks”, IEEE Trans. Mob. Comput., 2024. (CCF-A, Under-review)

Conference

[1] Jian Tang, Xiuhua Li, Hui Li, Min Xiong, Xiaofei Wang, and Victor C. M. Leung, “Energy-Efficient Client Sampling for Federated Learning in Heterogeneous Mobile Edge Computing Networks”, Proc. IEEE ICC, 2024, Jul. (CCF-C)