The emergence of new services and applications in emerging wireless networks (eg,
beyond 5G and 6G) has shown a growing demand for the usage of artificial intelligence (AI) …

Wireless technologies are growing unprecedentedly with the advent and increasing
popularity of wireless services worldwide. With the advancement in technology, profound …

This paper proposes the neural publish/subscribe paradigm, a novel approach to
orchestrating AI workflows in large-scale distributed AI systems in the computing continuum …

Pervasive Computing has become more personal with the widespread adoption of the
Internet of Things (IoT) in our day-to-day lives. The emerging domain that encompasses …

6G targets a broad and ambitious range of networking scenarios with stringent and diverse
requirements. Such challenging demands require a multitude of computational and …

In the era of Internet of Things (IoT), Digital Twin (DT) is envisioned to empower various
areas as a bridge between physical objects and the digital world. Through virtualization and …

In future 6G networks, distributed management of network elements is expected to be a
promising paradigm. Recent research progress in Artificial Intelligence (AI) is rapidly driving …

The future wireless networks are expected to support more artificial intelligence (AI)-enabled
applications, such as Metaverse services, at the network edge. The AI algorithms, like deep …

Federated learning performs collaborative training of deep learning models among multiple
clients, safeguarding data privacy, security, and legal adherence by preserving training data …

The demand for machine learning (ML) algorithms in wireless communication have
increased over the last decade. Anyhow to enhance the prediction quality in complex …