This paper investigates task-oriented communication for multi-device cooperative edge
inference, where a group of distributed low-end edge devices transmit the extracted features …

Wireless-radio-communication-based devices are used in more and more places with the
spread of Industry 4.0. Localization plays a crucial part in many of these applications. In this …

In this paper, we study distributed inference and learning over networks which can be
modeled by a directed graph. A subset of the nodes observes different features, which are …

This survey is for the remembrance of one of the creators of the information bottleneck
theory, Prof. Naftali Tishby, passing away at the age of 68 on August, 2021. Information …

The paper presents risk assessment processes, including data preparation, data mining,
prediction instant model, risk potential assessment. Attention is paid to the issue of …

Digital communication receivers extract information about the transmitted data from the
received signal in subsequent processing steps, such as synchronization, demodulation and …

The integration of artificial intelligence (AI) and mobile networks is regarded as one of the
most important scenarios for 6G. In 6G, a major objective is to realize the efficient …

Multi-kernel learning methods are essential kernel learning methods. Still, the base kernel
functions in most multi-kernel learning methods only with select kernel functions with …

Wireless network virtualization is widely used to solve the ossification problem of networks,
such as 5G and the Internet of Things. The most crucial method of wireless network …

Wireless-radio-communication-based devices are used in more and more places with the
spread of Industry 4.0. Localization plays a crucial part in many of these applications. In this …