most citedA Generalized Look at Federated Learning: Survey and Perspectives

1 citations · 1 across the 3 of their papers we have counts for

collaborators

6 papers

cs.NI2023

Adaptive Bitrate Video Semantic Communication over Wireless Networks

Wentao Gong, Haonan Tong, Sihua Wang +3

This paper investigates the adaptive bitrate (ABR) video semantic communication over wireless networks. In the considered model, video sensing devices must transmit video semantic…

cs.CR2023

Adversarial Attacks and Defenses for Semantic Communication in Vehicular Metaverses

Jiawen Kang, Jiayi He, Hongyang Du +4

For vehicular metaverses, one of the ultimate user-centric goals is to optimize the immersive experience and Quality of Service (QoS) for users on board. Semantic Communication (Se…

cs.DC2023

Distributed Learning over Networks with Graph-Attention-Based Personalization

Zhuojun Tian, Zhaoyang Zhang, Zhaohui Yang +2

In conventional distributed learning over a network, multiple agents collaboratively build a common machine learning model. However, due to the underlying non-i.i.d. data distribut…

quant-ph2023

Reconfigurable Quantum Internet Service Provider

Zhaohui Yang, Chaohan Cui

With the recent developments in engineering quantum systems, the realization of scalable local-area quantum networks has become viable. However, the design and implementation of a…

cs.IT2023

Self-information Domain-based Neural CSI Compression with Feature Coupling

Ziqing Yin, Renjie Xie, Wei Xu +2

Deep learning (DL)-based channel state information (CSI) feedback methods compressed the CSI matrix by exploiting its delay and angle features straightforwardly, while the measure…

cs.DC20231 cited

A Generalized Look at Federated Learning: Survey and Perspectives

Taki Hasan Rafi, Faiza Anan Noor, Tahmid Hussain +2

Federated learning (FL) refers to a distributed machine learning framework involving learning from several decentralized edge clients without sharing local dataset. This distribute…