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kt4ngw/README.md

👋 Hello, here is kt4ngw (Jian Tang).
  • 🙋‍♂️ I graduated from Hunan University of Technology and Business, Hunan, China with a B.S. degree in Jun. 2022 and currently pursuing a M.S. degree at Chongqing University, Chongqing, China.
  • 🌱 Current research interest includes Federated Learning (FL), Edge Intelligence, and FL for LLM, I am currently seeking an opportunity to continue my academic research as well as pursue a PhD (25 Fall).
  • 👀 Please do not hesitate to contact me with any questions or seek cooperation.
  • 📧 Email: kt4ngw@gmail.com (Please state your affiliation and name and indicate your intention.)
  • 📌 Personal blog: https://kt4ngw.cn/
  • ✨ Progressing together, please!⚡⚡⚡⚡⚡⚡
  • 👍 Last but not least, work hard and enjoy life!

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  1. CBCSBA CBCSBA Public

    Source code for the paper "Joint Class-Balanced Client Selection and Bandwidth Allocation for Cost-Efficient Federated Learning in Mobile Edge Computing Networks".

    Python 14

  2. GFLCSM GFLCSM Public

    2

  3. fedavg-pytorch fedavg-pytorch Public

    The implementation of FedAvg based on pytorch .

    Python 14 4

  4. ICC-2024 ICC-2024 Public

    Source code for the paper "Energy-Efficient Client Sampling for Federated Learning in Heterogeneous Mobile Edge Computing Networks", this paper is pulished in ICC 2024.

    Python 3