With the broad adoption of the Internet of Things (IoT) in a variety of scenarios and
application services, management and orchestration entities require upgrading the …

Federated learning (FL) activates distributed on-device computation techniques to model a
better algorithm performance with the interaction of local model updates and global model …

Fifth generation and beyond networks are envisioned to support multi industrial Internet of
Things (IIoT) applications with a diverse quality-of-service (QoS) requirements. Network …

Edge federated learning (EFL) utilizes edge computing (EC) to alleviate direct round
communications of multi-dimensional model updates between local participants and the …

Network Function Virtualization (NFV) and Software-Defined Networking (SDN) provide high-
quality services to users of the Internet of Things (IoT). However, dynamic changes in …

Network slicing is a promising paradigm and significant evolution for adjusting the
heterogeneous services based on different requirements by placing dynamic virtual network …

Over the past decade, the Internet of Things (IoT) has undergone a paradigm shift away from
centralized cloud computing towards edge computing. Hundreds of billions of things are …

Abstract 5G networks are envisioned to support heterogeneous Industrial IoT (IIoT) and
Industrial Wireless Sensor Network (IWSN) applications with a multitude Quality of Service …

The intelligent edge has accelerated the Internet of Things (IoT) revolution towards next-
generation operational efficiency and massive connectivity. Supporting fast response, agility …

With an ambitious increase in the number of Internet of Things (IoT) terminals, IoT networks
face a huge challenge which is providing diverse and complex network services with …