Peishen Yan
Scholar

Peishen Yan

Google Scholar ID: X484rVAAAAAJ
Shanghai Jiao Tong University
Federated LearningLLM Fine-Tuning
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Citations & Impact
All-time
Citations
9
 
H-index
2
 
i10-index
0
 
Publications
3
 
Co-authors
7
list available
Contact
No contact links provided.
Publications
5 items
FedMomentum: Preserving LoRA Training Momentum in Federated Fine-Tuning
2026
Cited
0
FWeb3: A Practical Incentive-Aware Federated Learning Framework
2026
Cited
0
SettleFL: Trustless and Scalable Reward Settlement Protocol for Federated Learning on Permissionless Blockchains (Extended version)
2026
Cited
0
POLAR: Policy-based Layerwise Reinforcement Learning Method for Stealthy Backdoor Attacks in Federated Learning
2025
Cited
0
FedCod: An Efficient Communication Protocol for Cross-Silo Federated Learning with Coding
2024
Cited
0
Resume (English only)
Co-authors
7 total
Tao Song
Tao Song
Associate Researcher, Shanghai Jiao Tong University
Hao Wang
Hao Wang
Assistant Professor, ECE at Stevens Institute of Technology
Yang Hua (华扬)
Yang Hua (华扬)
Queen's University Belfast
Bingsheng He, 何丙胜
Bingsheng He, 何丙胜
Professor, Department of Computer Science, National University of Singapore
Linshan Jiang
Linshan Jiang
Research Fellow, Institute of Data Science (IDS), NUS
Ruhui Ma
Ruhui Ma
Shanghai Jiao Tong University
Co-author 7
Co-author 7