The Internet of Things (IoT) ecosystem connects physical devices to the internet, offering
significant advantages in agility, responsiveness, and potential environmental benefits. The …

Recently, innovations in the Internet of Medical Things (IoMT), information and
communication technologies, and machine learning (ML) have enabled smart healthcare …

The federated learning technique (FL) supports the collaborative training of machine
learning and deep learning models for edge network optimization. Although a complex edge …

The advent of federated learning (FL) has sparked a new paradigm of parallel and
confidential decentralized machine learning (ML) with the potential of utilizing the …

Federated learning (FL) is a scheme in which several consumers work collectively to unravel
machine learning (ML) problems, with a dominant collector synchronizing the procedure …

Blockchain technology has rapidly gained popularity, permeating various fields due to its
inherent features of security, transparency, and decentralization. Blockchain-based …

While the convergence of Artificial Intelligence (AI) techniques with improved information
technology systems ensured enormous benefits to the Internet of Vehicles (IoVs) systems, it …

Federated learning has been rapidly evolving and gaining popularity in recent years due to
its privacy-preserving features, among other advantages. Nevertheless, the exchange of …

Decentralized federated learning integrates advanced technologies, including distributed
computing and secure encryption methodologies, to facilitate a robust and efficient …

Federated Learning (FL) is a promising approach to enabling machine learning on
decentralized data. It allows multiple clients to train a global model without transferring their …