The Internet of Things (IoT) paradigm is being rapidly adopted for the creation of smart
environments in various domains. The IoT-enabled cyber-physical systems associated with …

With the increasing use of the Internet of Things (IoT) in various fields and the need to
process and store huge volumes of generated data, Fog computing was introduced to …

As an alternative centralized systems, which may prevent data to be stored in a central
repository due to its privacy and/or abundance, federated learning (FL) is nowadays a game …

Currently, researchers have motivated a vision of 6G for empowering the new generation of
the Internet of Everything (IoE) services that are not supported by 5G. In the context of 6G …

The increasing number of Internet of Things (IoT) devices necessitates the need for a more
substantial fog computing infrastructure to support the users' demand for services. In this …

The growing technology of the fifth generation (5G) of mobile telecommunications has led to
the special attention of cloud service providers (CSPs) to mobile cloud computing (MCC) …

This survey examines approaches to promote Collaborative Learning in distributed systems
for emergent Intelligent Autonomous Systems (IAS). The study involves a literature review of …

Due to increased use of IoT devices and data sensors a huge amount of data is being
produced for processing in real‐time. Fog computing has evolved as a solution for fast …

Scheduling large-scale and resource-intensive workflows in cloud infrastructure is one of the
main challenges for cloud service providers (CSPs). Cloud infrastructure is more efficient …

The fog paradigm extends the cloud capabilities at the edge of the network. Fog computing-
based real-time applications (Online gaming, 5G, Healthcare 4.0, Industrial IoT, autonomous …