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Working in Company
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Working in Company
14 followers · 15 following
  • Chongqing University
  • Chongqing, China
  • 03:58 (UTC +08:00)

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kt4ngw/README.md

👋 Hello, here is kt4ngw (Jian Tang).
  • 🙋‍♂️ M.S. Software Engineering, Chongqing University, Chongqing, China (Jun. 2025); B.S. Engineering, Hunan University of Technology and Business, Changsha, China (Jun. 2022)
  • 🌱 Current research interest includes Federated Learning (FL), Edge Intelligence, and FL for LLM.
  • 👀 Please do not hesitate to contact me with any questions or seek cooperation.
  • 📧 Email: kt4ngw@163.com, kt4ngw@gmail.com(mainly). (Please state your affiliation and name and indicate your intention.)
  • 📌 Personal blog: https://kt4ngw.cn/
  • ✨ Progressing together, please!⚡⚡⚡⚡⚡⚡
  • 👍 Last but not least, to learn & to cope (that's my motto)!
  • Notice: I am currently seeking opportunities to continue my research and pursue a PhD degree.

Pinned Loading

  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 92 5

  2. GFLCSM GFLCSM Public

    Source code for the paper "Group-based Federated Learning with Cost-efficient Sampling Mechanism in Mobile Edge Computing Networks".

    Python 33

  3. BAPFT BAPFT Public

    Source code for the paper "Accelerating Federated Learning under Client Dropout via Joint Bandwidth Allocation and Prototype Fine-Tuning in Mobile Edge Computing Networks".

    Python

  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 11