Scholar
Jiaxiang Geng
Google Scholar ID: T9_f4C0AAAAJ
The University of Hong Kong, Beijing University of Posts and Telecommunications
Federated Learning
Foundation Model
Mobile Computing
Integrated Sensing and Communication
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Citations & Impact
All-time
Citations
41
H-index
3
i10-index
1
Publications
13
Co-authors
0
Publications
8 items
Just Talk Once: Communication-Efficient Split Federated LLM Fine-Tuning on Edge Devices
2026
Cited
0
EdgeFlowerTune: Evaluating Federated LLM Fine-Tuning Under Realistic Edge System Constraints
2026
Cited
0
MobileFineTuner: A Unified End-to-End Framework for Fine-Tuning LLMs on Mobile Phones
2025
Cited
0
Flexible Personalized Split Federated Learning for On-Device Fine-Tuning of Foundation Models
2025
Cited
0
Adaptive Federated LoRA in Heterogeneous Wireless Networks with Independent Sampling
2025
Cited
0
Ten Challenging Problems in Federated Foundation Models
2025
Cited
0
FedEx: Expediting Federated Learning over Heterogeneous Mobile Devices by Overlapping and Participant Selection
arXiv.org · 2024
Cited
0
WHALE-FL: Wireless and Heterogeneity Aware Latency Efficient Federated Learning over Mobile Devices via Adaptive Subnetwork Scheduling
arXiv.org · 2024
Cited
0
