With the proliferation of machine learning, the cloud server has been employed to collect
massive data and train machine learning models. Several privacy-preserving machine …

Diabetes has become one of the significant reasons for public sickness and death in
worldwide. By 2019, diabetes had affected more than 463 million people worldwide …

Quantum Federated Learning (QFL) recently becomes a promising approach with the
potential to revolutionize Machine Learning (ML). It merges the established strengths of …

In vehicular ad-hoc networks (VANET), federated learning enables vehicles to
collaboratively train a global model for intelligent transportation without sharing their local …

In this article, we introduce the concept of edge computing power network (EdgeCPN) as a
new paradigm to facilitate elastic integration and flexible scheduling of computing resources …

Currently, decentralized redactable blockchains have been widely applied in IoT systems for
secure and controllable data management. Unfortunately, existing works ignore policy …

Owing to its practical configuration to edge computing and privacy preservation capabilities,
federated learning (FL) has been increasingly appealing in Internet of Things (IoT) networks …

Abstract The Healthcare Internet of Things (HIoT) system enables remote monitor patient
health state and feedback on medical treatments timely. The success of HIoT relies on how …

Outsourcing storage has emerged as an effective solution to manage the increasing volume
of data. With the popularity of pay-as-you-go payment models in outsourcing storage, data …

There are a series of challenges in microgrid transactions, and blockchain technology holds
the promise of addressing these challenges. However, with the increasing number of users …