96 citations · 96 across the 2 of their papers we have counts for
3 papers
cs.IT2022★ 96 cited
Toward Ambient Intelligence: Federated Edge Learning with Task-Oriented Sensing, Computation, and Communication Integration
Peixi Liu, Guangxu Zhu, Shuai Wang +4
In this paper, we address the problem of joint sensing, computation, and communication (SC) resource allocation for federated edge learning (FEEL) via a concrete case study o…
eess.SP2022
Vertical Federated Edge Learning with Distributed Integrated Sensing and Communication
Peixi Liu, Guangxu Zhu, Wei Jiang +3
This letter studies a vertical federated edge learning (FEEL) system for collaborative objects/human motion recognition by exploiting the distributed integrated sensing and communi…
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…