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Zheng Chang — most-cited papers & profile · Federated Learning
← authors
·
overview
Zheng Chang
12
papers ·
14
citations ·
45
h-index
University of Electronic Science and Technology of China
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Adaptive and Parallel Split Federated Learning in Vehicular Edge Computing
2024 · 12 citations
Semantic-aware Token Selection and Resource Optimization for Communication-efficient Split Federated Fine-tuning in Edge Intelligence
2026
TSFLora: Token-Compressed Split Fine-Tuning for Wireless Edge Networks
2026
Semantic Communication-Enhanced Split Federated Learning for Vehicular Networks: Architecture, Challenges, and Case Study
2026
Deploying Large AI Models on Resource-Limited Devices with Split Federated Learning
2025
AIGC-assisted Federated Learning for Vehicular Edge Intelligence: Vehicle Selection, Resource Allocation and Model Augmentation
2025
AIGC-assisted Federated Learning for Edge Intelligence: Architecture Design, Research Challenges and Future Directions
2025
Age-Based Device Selection and Transmit Power Optimization in Over-the-Air Federated Learning
2025
Split Federated Learning Empowered Vehicular Edge Intelligence: Concept, Adaptive Design and Future Directions
2024
Model Partition and Resource Allocation for Split Learning in Vehicular Edge Networks
2024
Top co-authors
Xianke Qiang
· 7
Geyong Min
· 4
Ying-Chang Liang
· 4
Lu Yu
· 2
Timo Hamalainen
· 2
and Ying-Chang Liang
· 1
Chaoxiong Ye
· 1
Hongda Liu
· 1
Jingyuan Liu
· 1
Lei Liu
· 1
Li Wang
· 1
Xinran Zhang
· 1
Topics
Federated Learning
Privacy
cs.DC
cs.LG
Security
Data Heterogeneity
Communication
Edge Computing
Optimization