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Gang Li (李刚)

Gang obtained M.Sc. degree from Guilin University of Electronic Technology in 2016, and Ph.D. degree from Concordia University in 2022, under the supervision of Prof. Jun Cai. He is also affiliated with the Network Intelligence and Innovation Lab (NI2Lab), Concordia University, Canada. From Jul. 2022 to Feb. 2024, he was with the School of Electronic and Electrical Engineering at Wuhan Textile University. Currently, he is a faculty member with Inner Mongolia University. His recent research interests include optimization, mechanism design, online algorithm, machine learning, and their applications in resource management for various wireless networks including federated learning, edge/fog computing, industrial IoT, vehicular/UAV systems, 5G and beyond communication.



Upcoming News 🌟

  • 🎉 Congrats to our collaborator on their paper accepted by 2025 IJCAI (CCF-A).
  • 🎉 Congrats to Xu Zhao and Xijun Zhao on their papers accepted by 2025 ICME (CCF-B).
  • 🎉 Serving as TPC Member at 2025 GloBecom.
  • 🎉 Serving as TPC Member at 2024 GloBecom.
  • 🎉 A book was published by Spring Nature, May, 2024.
  • 🎉 One paper was accepted by IEEE TMC, Nov. 2024.
  • 🎉 One paper was accepted by IEEE TMC, Jan. 2022.
  • 🎉 Serving as TPC Member at 2023 Biennial Symposium on Communications.
  • 🎉 One paper was accepted by IEEE Sensors Journal, Oct. 2022.
  • 🎉 One paper was accepted by Sensors, Sep. 2023.
  • 🎉 One paper was accepted by IEEE IoT-J, Sep. 2023.
  • 🎉 I finished my Ph.D. defense in Oct. 2021.

Research Areas 📡

FL

Cross-Device Federated Learning

Incentive Mechanism Design: A Learning Approach

MEC

Mobile Edge Computing

Auction Based Incentive Mechanism Design

FL

Privacy Preservation in FL

Differential Privacy Protection

FL

Cross-Device Federated Learning

Incentive Mechanism Design: A Learning Approach