The smart city vision has driven the rapid development and advancement of interconnected
technologies using the Internet of Things (IoT) and cyber-physical systems (CPS). In this …

The Internet of Things (IoT) is widely used to reduce human dependence. It is a network of
interconnected smart devices with internet connectivity that can send and receive data …

Federated learning (FL) has been promoted as a popular technique for training machine
learning (ML) models over edge/fog networks. Traditional implementations of FL have …

Offloading assists in overcoming the resource constraints of specific elements, making it one
of the primary technical enablers of the Internet of Things (IoT). IoT devices with low battery …

The use of the federation can exploit the advantages of cloud and edge computing
technologies as the federation provides the facilities by which both can complement each …

Abstract The Internet of Things (IoT) is increasingly utilized in daily life and industrial
production, particularly in critical infrastructures. IoT cybersecurity has an effect on people's …

The rapid development of the Internet of Things and wireless communication has resulted in
the emergence of many latency-constrained and computation-intensive applications such as …

The prevalence of heart disease has remained a major cause of mortalities across the world
and has been challenging for healthcare providers to detect early symptoms of cardiac …

Federated Learning (FL) is a promising privacy-preserving distributed learning framework
where a server aggregates models updated by multiple devices without accessing their …

In light of the various and consistently changing resources in contrast with the cloud,
overseeing assets turns into a major errand to be taken care of. This study gives an overview …