The Internet of Things (IoT) is penetrating many facets of our daily life with the proliferation of
intelligent services and applications empowered by artificial intelligence (AI). Traditionally …

Mobile-edge computing (MEC) has been envisioned as a promising paradigm to handle the
massive volume of data generated from ubiquitous mobile devices for enabling intelligent …

The communication and networking field is hungry for machine learning decision-making
solutions to replace the traditional model-driven approaches that proved to be not rich …

Federated Learning is a machine learning scheme in which a shared prediction model can
be collaboratively learned by a number of distributed nodes using their locally stored data. It …

Federated learning (FL) is a new technology that has been a hot research topic. It enables
the training of an algorithm across multiple decentralized edge devices or servers holding …

The Internet of Things (IoT) is on the verge of a major paradigm shift. In the IoT system of the
future, IoFT, the “cloud” will be substituted by the “crowd” where model training is brought to …

Autonomous systems are becoming inherently ubiquitous with the advancements of
computing and communication solutions enabling low-latency offloading and real-time …

With data increasingly collected by end devices and the number of devices is growing
rapidly in which data source mainly located outside the cloud today. To guarantee data …

In this paper, we develop a foundation for a constellation of Low Earth Orbit (LEO) satellite
IoT by constructing a Blockchain-based framework for continual knowledge sharing and …

Owing to dynamically changing resources and channel conditions of mobile devices (MDs),
when a static deadline-based MD selection scheme is used for federated learning, resource …