Wenzhi Fang
Computer Science · Purdue University West Lafayette
Publications
46
Citations
228
Est. group size
~1
Recurring co-author estimate
Active years
22
Publishing since 2005
Wenzhi Fang works on making machine learning and large language models run efficiently across networks of devices and cloud servers, especially when data must stay private and communication or computing resources are limited. Recent work focuses on federated learning (training models across many devices without centralizing data), fine-tuning large language models collaboratively, and coordinating edge devices with cloud systems under privacy and budget constraints.
Publication output was low or absent from 2017-2019, rose modestly through 2020-2024, then increased sharply in 2025-2026, suggesting a recent surge in research activity.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Joint Continual Learning of Local Language Models and Cloud Offloading Decisions with Budget Constraints
Open MIND · 2026
- Joint Continual Learning of Local Language Models and Cloud Offloading Decisions with Budget Constraints
arXiv (Cornell University) · 2026
- Self-Play Enhancement via Advantage-Weighted Refinement in Online Federated LLM Fine-Tuning with Real-Time Feedback
arXiv (Cornell University) · 2026
- PAAC: Privacy-Aware Agentic Device-Cloud Collaboration
arXiv (Cornell University) · 2026
- Large Language Models over Networks: Collaborative Intelligence under Resource Constraints
arXiv (Cornell University) · 2026
- Iterative Critique-and-Routing Controller for Multi-Agent Systems with Heterogeneous LLMs
arXiv (Cornell University) · 2026
- Self-Play Enhancement via Advantage-Weighted Refinement in Online Federated LLM Fine-Tuning with Real-Time Feedback
arXiv (Cornell University) · 2026
- Iterative Critique-and-Routing Controller for Multi-Agent Systems with Heterogeneous LLMs
arXiv (Cornell University) · 2026
- PAAC: Privacy-Aware Agentic Device-Cloud Collaboration
arXiv (Cornell University) · 2026
- Large Language Models over Networks: Collaborative Intelligence under Resource Constraints
arXiv (Cornell University) · 2026
- Federated Learning Over Hierarchical Wireless Networks: Training Latency Minimization via Submodel Partitioning
IEEE Transactions on Networking · 2025
- Federated Edge Learning
Wireless networks · 2025
- Federated Sketching LoRA: A Flexible Framework for Heterogeneous Collaborative Fine-Tuning of LLMs
arXiv (Cornell University) · 2025
- Federated Edge Learning via Unmanned Aerial Vehicle
Wireless networks · 2025
- Trustworthy Federated Edge Learning via Blockchain
Wireless networks · 2025
- arXiv (Cornell University)×20
- Wireless networks×10
- IEEE Transactions on Networking×2
- IEEE Transactions on Communications×1
- IEEE Transactions on Signal Processing×1
- Christopher G. Brinton
Computer Science · Purdue University West Lafayette
- Rohit Parasnis
Computer Science · Purdue University West Lafayette
- Feijie Wu
Computer Science · Purdue University West Lafayette
- Dong-Jun Han
Computer Science · Purdue University West Lafayette
- Sai Aparna Aketi
Computer Science · Purdue University West Lafayette
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 20, 2026.
Claim or correct this profile