1k citations · 1.4k across the 38 of their papers we have counts for
10 papers · 1 filter
Reconfigurable Intelligent Surface Empowered Over-the-Air Federated Edge Learning
Hang Liu, Zehong Lin, Xiaojun Yuan +1
Federated edge learning (FEEL) has emerged as a revolutionary paradigm to develop AI services at the edge of 6G wireless networks as it supports collaborative model training at a m…
Relay-Assisted Cooperative Federated Learning
Zehong Lin, Hang Liu, Ying-Jun Angela Zhang
Federated learning (FL) has recently emerged as a promising technology to enable artificial intelligence (AI) at the network edge, where distributed mobile devices collaboratively…
Optimal Model Placement and Online Model Splitting for Device-Edge Co-Inference
Jia Yan, Suzhi Bi, Ying-Jun Angela Zhang
Device-edge co-inference opens up new possibilities for resource-constrained wireless devices (WDs) to execute deep neural network (DNN)-based applications with heavy computation w…
Dynamic Trajectory and Offloading Control of UAV-enabled MEC under User Mobility
Zheyuan Yang, Suzhi Bi, Ying-Jun Angela Zhang
In this paper, we consider a UAV-enabled MEC platform that serves multiple mobile ground users with random movements and task arrivals. We aim to minimize the average weighted ener…
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…
Stable Online Computation Offloading via Lyapunov-guided Deep Reinforcement Learning
Suzhi Bi, Liang Huang, Hui Wang +1
In this paper, we consider a multi-user mobile-edge computing (MEC) network with time-varying wireless channels and stochastic user task data arrivals in sequential time frames. In…
CSIT-Free Model Aggregation for Federated Edge Learning via Reconfigurable Intelligent Surface
Hang Liu, Xiaojun Yuan, Ying-Jun Angela Zhang
We study over-the-air model aggregation in federated edge learning (FEEL) systems, where channel state information at the transmitters (CSIT) is assumed to be unavailable. We lever…
Privacy-Preserving Distributed Optimal Power Flow with Partially Homomorphic Encryption
Tong Wu, Changhong Zhao, Ying-Jun Angela Zhang
Distribution grid agents are obliged to exchange and disclose their states explicitly to neighboring regions to enable distributed optimal power flow dispatch. However, the states…