Utilizing the fundamental characteristics of the decentralization, immutability, and
transparency of blockchain technology, the healthcare industry has made notable …

The rapid advancements in technology have paved the way for innovative solutions in the
healthcare domain, aiming to improve scalability and security while enhancing patient care …

Wearable devices and medical sensors revolutionize health monitoring, raising concerns
about data privacy in ML for healthcare. This tutorial explores FL and BC integration, offering …

The chapter discusses the challenges of maintaining data security over time, particularly in
sensitive fields like electronic health records (EHR). It highlights the importance of time …

Blockchain-based federated learning (BCFL) has been regarded as an emerging data
sharing paradigm in edge networks of internet-of-things (IoT) because of its advantages …

Background Securing adequate data privacy is critical for the productive utilization of data.
De-identification, involving masking or replacing specific values in a dataset, could damage …

This examination explores joined picking up gathering appraisals, unequivocally United
Averaging (FedAvg), Weighted Consolidated Averaging (FedAvg-W), Bound together …

With an end goal to upgrade the network protection of diabetes patient data in a Cloud-
Based Web of Things (IoT) system, this review utilizes progressed computer-based …

Blockchain technology has emerged as a promising solution for enhancing data security,
privacy, and interoperability across various sectors, including healthcare. In dentistry, its …

A person's medical background goes back to birth in lifetime medical history data. Modern
hospital in the world has a system for keeping records. With the development of electronic …