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Working in Company
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Working in Company
  • Chongqing University
  • Chongqing, China
  • 20:22 (UTC +08:00)

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kt4ngw/README.md

πŸ‘‹ Hello, here is kt4ngw (Jian Tang).
  • πŸ™‹β€β™‚οΈ 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.
  • πŸ‘€ Please do not hesitate to contact me with any questions or seek cooperation.
  • πŸ“§ Email: [email protected], [email protected](mainly). (Please state your affiliation and name and indicate your intention.)
  • πŸ“Œ Personal blog: https://kt4ngw.cn/
  • ✨ Progressing together, please!⚑⚑⚑⚑⚑⚑
  • πŸ‘ 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 32

  3. 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

  4. fedavg-pytorch fedavg-pytorch Public

    The implementation of FedAvg based on pytorch.

    Python 85 5