Scholar
Jieming Bian
Google Scholar ID: k6E4dDwAAAAJ
Ph.D. Candidate, University of Florida
Federated Learning
Machine Learning
LLMs
PEFT
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Citations & Impact
All-time
Citations
242
H-index
11
i10-index
11
Publications
20
Co-authors
9
list available
Contact
No contact links provided.
Publications
8 items
FedTreeLoRA: Reconciling Statistical and Functional Heterogeneity in Federated LoRA Fine-Tuning
2026
Cited
0
FedEL: Federated Elastic Learning for Heterogeneous Devices
2025
Cited
0
Adaptive LoRA Experts Allocation and Selection for Federated Fine-Tuning
2025
Cited
0
Multimodal Federated Learning: A Survey through the Lens of Different FL Paradigms
2025
Cited
0
A Survey on Parameter-Efficient Fine-Tuning for Foundation Models in Federated Learning
2025
Cited
0
FedALT: Federated Fine-Tuning through Adaptive Local Training with Rest-of-the-World LoRA
2025
Cited
0
LoRA-FAIR: Federated LoRA Fine-Tuning with Aggregation and Initialization Refinement
arXiv.org · 2024
Cited
1
Computation and Communication Efficient Lightweighting Vertical Federated Learning
arXiv.org · 2024
Cited
1
Resume (English only)
Co-authors
9 total
Jie Xu
Associate Professor, Electrical and Computer Engineering, University of Florida
Lei Wang
Ph.D. Candidate, University of Florida
Cong Shen
Associate Professor, University of Virginia
Letian Zhang
Middle Tennessee State University
Co-author 5
Kun Yang
Google, University of Virginia
Chen Chen
Associate Professor, Center for Research in Computer Vision, University of Central Florida
Heqiang Wang
Researcher at PCL
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