With the rapid growth in the volume of data sets, models, and devices in the domain of deep
learning, there is increasing attention on large-scale distributed deep learning. In contrast to …

This paper explores opportunities and challenges of task (goal)-oriented and semantic
communications for next-generation (NextG) communication networks through the …

This paper studies the notion of age in task-oriented communications that aims to execute a
task at a receiver utilizing the data at its transmitter. The transmitter-receiver operations are …

This paper highlights vulnerabilities of deep learning-driven semantic communications to
backdoor (Trojan) attacks. Semantic communications aims to convey a desired meaning …

In this paper, we present a novel distributed UAVs beam reforming approach to dynamically
form and reform a space-selective beam path in addressing the coexistence with satellite …

This paper explores the integration of deep learning techniques for joint sensing and
communications, with an extension to semantic communications. The integrated system …

To accommodate new applications such as extended reality, fully autonomous vehicular
networks and the metaverse, next generation wireless networks are going to be subject to …

This paper studies task-oriented, otherwise known as goal-oriented, communications, in a
setting where a trans-mitter communicates with multiple receivers, each with its own task to …

The emergence of the AI era signifies a shift in the future landscape of global communication
networks, wherein robots are expected to play a more prominent role compared to humans …

We consider cooperative semantic text communications facilitated by a relay node. We
propose two types of semantic forwarding: semantic lossy forwarding (SLF) and semantic …