1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.LG2024
ESFL: Efficient Split Federated Learning over Resource-Constrained Heterogeneous Wireless Devices
Guangyu Zhu, Yiqin Deng, Xianhao Chen +3
Federated learning (FL) allows multiple parties (distributed devices) to train a machine learning model without sharing raw data. How to effectively and efficiently utilize the res…
cs.DC2023★ 1 cited
Spectrum-aware Multi-hop Task Routing in Vehicle-assisted Collaborative Edge Computing
Yiqin Deng, Haixia Zhang, Xianhao Chen +1
Multi-access edge computing (MEC) is a promising technology to enhance the quality of service, particularly for low-latency services, by enabling computing offloading to edge serve…
cs.AI2023
Federated Radio Frequency Fingerprinting with Model Transfer and Adaptation
Chuanting Zhang, Shuping Dang, Junqing Zhang +2
The Radio frequency (RF) fingerprinting technique makes highly secure device authentication possible for future networks by exploiting hardware imperfections introduced during manu…