Wenzhi Fang
Scholar

Wenzhi Fang

Google Scholar ID: XdUxykMAAAAJ
Purdue University
LLM Post-TrainingFederated Learning
Citations & Impact
All-time
Citations
290
 
H-index
7
 
i10-index
7
 
Publications
13
 
Co-authors
8
list available
Resume (English only)
Academic Achievements
  • [{'Paper': 'Collaborative Device-Cloud LLM Inference through Reinforcement Learning', 'PublicationDate': 'Sep 28, 2025'}, {'Paper': 'Federated Sketching LoRA: On-Device Collaborative Fine-Tuning of Large Language Models', 'PublicationDate': 'Jan 31, 2025'}, {'Paper': 'Hierarchical federated learning with multi-timescale gradient correction', 'PublicationDate': 'Sep 1, 2024'}, {'Paper': 'Federated Learning over Hierarchical Wireless Networks: Training Latency Minimization via Submodel Partitioning', 'PublicationDate': 'Feb 1, 2024'}, {'Paper': 'Communication-efficient stochastic zeroth-order optimization for federated learning', 'PublicationDate': 'Jan 1, 2022'}]
Background
  • Currently a second-year PhD student at Purdue University, majoring in Electrical and Computer Engineering, with research interests including RL-based post-training, efficient fine-tuning of LLM, and federated learning.
Miscellany
  • Looking for an internship for 2026.