Abstract Internet of Vehicles (IoVs) consists of smart vehicles, Autonomous Vehicles (AVs)
as well as roadside units (RSUs) that communicate wirelessly to provide enhanced …

IoT data markets in public and private institutions have become increasingly relevant in
recent years because of their potential to improve data availability and unlock new business …

Over the recent years, with the increasing adoption of Federated Learning (FL) algorithms
and growing concerns over personal data privacy, Privacy-Preserving Federated Learning …

The Internet of Medical Things (IoMT) has a bright future with the development of smart
mobile devices. Information technology is also leading changes in the healthcare industry …

Federated Learning (FL) has recently arisen as a revolutionary approach to collaborative
training Machine Learning models. According to this novel framework, multiple participants …

Federated Learning (FL) is an emerging Artificial Intelligence (AI) paradigm enabling
multiple parties to train a model collaboratively without sharing their data. With the upcoming …

Private permissioned blockchains are deployed in ever greater numbers to facilitate cross-
organizational processes in various industries, particularly in supply chain management …

With the rapid advancement of artificial intelligence technology, the usage of machine
learning models is gradually becoming part of our daily lives. High-quality models rely not …

Federated Learning (FL) has emerged as a significant advancement in the field of Artificial
Intelligence (AI), enabling collaborative model training across distributed devices while …

In the last decades, several developments have transformed electricity systems in Europe
towards liberalized and decentralized systems that are coupled inter-sectorally and inter …