26 citations · 52 across the 26 of their papers we have counts for
5 papers · 1 filter
Large Language Models Empowered Autonomous Edge AI for Connected Intelligence
Yifei Shen, Jiawei Shao, Xinjie Zhang +5
The evolution of wireless networks gravitates towards connected intelligence, a concept that envisions seamless interconnectivity among humans, objects, and intelligence in a hyper…
CFLIT: Coexisting Federated Learning and Information Transfer
Zehong Lin, Hang Liu, Ying-Jun Angela Zhang
Future wireless networks are expected to support diverse mobile services, including artificial intelligence (AI) services and ubiquitous data transmissions. Federated learning (FL)…
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…
Joint Uplink and Downlink Transmissions in User-Centric OFDMA Cloud-RAN
Zehong Lin, Yuan Liu
This paper studies joint uplink (UL) and downlink (DL) resource allocation in user-centric orthogonal frequency division multiple access (OFDMA) cloud radio access network (CRAN),…