313 citations · 425 across the 11 of their papers we have counts for
4 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…
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…
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…