Wenzhi Fang
Wenzhi Fang

PhD student

Purdue University

Hello and welcome! I am currently a second-year PhD student at Purdue University, majoring in Electrical and Computer Engineering, advised by Prof. Christopher G. Brinton. Previous to that, I obtained my master’s degree in Electrical and Computer Engineering at ShanghaiTech University under the supervision of Prof. Yong Zhou and Prof. Yuanming Shi. In addition, from Aug. 2022 to Feb. 2023, I served as a research intern in the Optimization for Machine Learning lab at KAUST led by Prof. Peter Richtárik.

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Interests
  • Distributed Optimization
  • Efficient Machine Learning
  • LLM fine-tuning
Education

  • PhD Electrical and Computer Engineering

    Purdue University

  • MS Electrical and Computer Engineering

    ShanghaiTech

  • BS Electrical Engineering

    Shanghai University

Selected Works
Federated Sketching LoRA: On-Device Collaborative Fine-Tuning of Large Language Models
Federated Sketching LoRA: On-Device Collaborative Fine-Tuning of Large Language Models

Jan 31, 2025

Hierarchical federated learning with multi-timescale gradient correction
Hierarchical federated learning with multi-timescale gradient correction

Sep 1, 2024

Federated Learning over Hierarchical Wireless Networks: Training Latency Minimization via Submodel Partitioning
Federated Learning over Hierarchical Wireless Networks: Training Latency Minimization via Submodel Partitioning

Feb 1, 2024

Communication-efficient stochastic zeroth-order optimization for federated learning
Communication-efficient stochastic zeroth-order optimization for federated learning

Jan 1, 2022

News
I am looking for an internship for 2025 summer.
Academic Services

Conference Reviewer

Journal Reviewer