340 citations · 510 across the 8 of their papers we have counts for
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cs.IT2021
Training Time Minimization for Federated Edge Learning with Optimized Gradient Quantization and Bandwidth Allocation
Peixi Liu, Jiamo Jiang, Guangxu Zhu +5
Training a machine learning model with federated edge learning (FEEL) is typically time-consuming due to the constrained computation power of edge devices and limited wireless reso…
cs.NI2021
Accelerating Federated Edge Learning via Optimized Probabilistic Device Scheduling
Maojun Zhang, Guangxu Zhu, Shuai Wang +3
The popular federated edge learning (FEEL) framework allows privacy-preserving collaborative model training via frequent learning-updates exchange between edge devices and server.…
cs.IT2021
Symbiotic Sensing and Communications Towards 6G: Vision, Applications, and Technology Trends
Zhiqin Wang, Kaifeng Han, Jiamo Jiang +5
Driven by the vision of intelligent connection of everything and digital twin towards 6G, a myriad of new applications, such as immersive extended reality, autonomous driving, holo…