9 citations · 27 across the 11 of their papers we have counts for
8 papers · 1 filter
Differentially Private Over-the-Air Federated Learning Over MIMO Fading Channels
Hang Liu, Jia Yan, Ying-Jun Angela Zhang
Federated learning (FL) enables edge devices to collaboratively train machine learning models, with model communication replacing direct data uploading. While over-the-air model ag…
An Integrated Optimization-Learning Framework for Online Combinatorial Computation Offloading in MEC Networks
Xian Li, Liang Huang, Hui Wang +2
Mobile edge computing (MEC) is a promising paradigm to accommodate the increasingly prosperous delay-sensitive and computation-intensive applications in 5G systems. To achieve opti…
Temporal-Structure-Assisted Gradient Aggregation for Over-the-Air Federated Edge Learning
Dian Fan, Xiaojun Yuan, Ying-Jun Angela Zhang
In this paper, we investigate over-the-air model aggregation in a federated edge learning (FEEL) system. We introduce a Markovian probability model to characterize the intrinsic te…
Semi-Blind Cascaded Channel Estimation for Reconfigurable Intelligent Surface Aided Massive MIMO
Zhen-Qing He, Hang Liu, Xiaojun Yuan +2
Reconfigurable intelligent surface (RIS) is envisioned to be a promising green technology to reduce the energy consumption and improve the coverage and spectral efficiency of massi…
Matrix-Calibration-Based Cascaded Channel Estimation for Reconfigurable Intelligent Surface Assisted Multiuser MIMO
Hang Liu, Xiaojun Yuan, Ying-Jun Angela Zhang
Reconfigurable intelligent surface (RIS) is envisioned to be an essential component of the paradigm for beyond 5G networks as it can potentially provide similar or higher array gai…
CNN-Based Signal Detection for Banded Linear Systems
Congmin Fan, Xiaojun Yuan, Ying-Jun Angela Zhang
Banded linear systems arise in many communication scenarios, e.g., those involving inter-carrier interference and inter-symbol interference. Motivated by recent advances in deep le…