Coded distributed computing (CDC) can alleviate the communication load in distributed
computing systems by leveraging coding opportunities via redundant computation. While the …

Existing deep learning-enabled semantic communication systems often rely on shared
background knowledge between the transmitter and receiver that includes empirical data and …

A new source model, which consists of an intrinsic state part and an extrinsic observation
part, is proposed and its information-theoretic characterization, namely its rate-distortion …

Low elastic polymer microsphere (L-EPM) has been proposed as a functional polymer
microsphere these years. L-EMP has the excellent deformation ability in the porous medium due …

Due to the high dependency of traditional intrusion detection method on a fully-labeled large
dataset, existing works can hardly be applied in real-world scenarios, especially facing zero…

… Ning Zheng, Rui Li, Wenjuan Liu, Shuo Shao, Shan Jiang, The diagnostic value of
combining … Wenjuan Liu and Shuo Shao have contributed equally to this study and should be …

In this paper, the analysis of excess distortion exponent for joint source-channel coding (JSCC)
in semantic-aware communication systems is presented. By introducing an …

This paper considers the massive random access problem in multiple-input multiple-output (MIMO)
quasi-static Rayleigh fading channels. Specifically, we derive achievability and …

Semantic communications have emerged as a new paradigm for improving communication
efficiency by transmitting the semantic information of a source message that is most relevant …

Federated learning (FL) is a distributed machine learning paradigm allowing multiple clients
to collaboratively train a global model without sharing their local data. However, FL entails …