activity
20172026
most citedMulti-Armed Bandit Based Client Scheduling for Federated Learning

313 citations · 519 across the 47 of their papers we have counts for

collaborators

79 papers

eess.SP2026

Toward Secure Communications for a UAV Swarm with Movable Antennas in SAGIN: CKM-Enabled Multi-Agent Reinforcement Learning Framework

Jiayang Wan, Yafei Wang, Jiawei Zhuang +2

Space-air-ground integrated networks (SAGINs) can provide ubiquitous and reliable connectivity for unmanned aerial vehicles (UAVs). However, air-to-ground links, which are typicall…

eess.SP2025

Distributed Gossip-GAN for Low-overhead CSI Feedback Training in FDD mMIMO-OFDM Systems

Yuwen Cao, Guijun Liu, Tomoaki Ohtsuki +2

The deep autoencoder (DAE) framework has turned out to be efficient in reducing the channel state information (CSI) feedback overhead in massive multiple-input multipleoutput (mMIM…

cs.DC2025

Integrated user scheduling and beam steering in over-the-air federated learning for mobile IoT

Shengheng Liu, Ningning Fu, Zhonghao Zhang +2

The rising popularity of Internet of things (IoT) has spurred technological advancements in mobile internet and interconnected systems. While offering flexible connectivity and int…

cs.LG2025

Lightweight Task-Oriented Semantic Communication Empowered by Large-Scale AI Models

Chuanhong Liu, Caili Guo, Yang Yang +2

Recent studies have focused on leveraging large-scale artificial intelligence (LAI) models to improve semantic representation and compression capabilities. However, the substantial…

cs.NI2025

LLM-hRIC: LLM-empowered Hierarchical RAN Intelligent Control for O-RAN

Lingyan Bao, Sinwoong Yun, Jemin Lee +1

Despite recent advances in applying large language models (LLMs) and machine learning (ML) techniques to open radio access network (O-RAN), critical challenges remain, such as insu…

eess.IV2025

Hierarchy-Aware and Channel-Adaptive Semantic Communication for Bandwidth-Limited Data Fusion

Lei Guo, Wei Chen, Yuxuan Sun +3

Obtaining high-resolution hyperspectral images (HR-HSI) is costly and data-intensive, making it necessary to fuse low-resolution hyperspectral images (LR-HSI) with high-resolution…