Abstract The Internet of Medical Things (IoMT) offers real-time data insights, reduces energy
costs, and enhances patient comfort, presenting transformative potential for healthcare …

Federated learning is a multiple device collaboration setup designed to solve machine
learning problems under framework for aggregation and knowledge transfer in distributed …

The rapid explosion of Internet of Things (IoT) devices has resulted in extraordinary data
generation, necessitating advanced methods for data processing and privacy preservation …

In this study, a blockchain based federated learning system using an enhanced weighted
mean vector optimization algorithm, known as EINFO, is proposed. The proposed EINFO …

Data security in electronic health records (EHR) remains a critical concern, with existing
methods employing session, service, feature, rule, and profile-based encryption and access …

The advancement of decentralized, real-time data collection through the Internet of Medical
Things is transforming the healthcare industry. However, this innovation brings forth …

This research paper explores the design and implementation of a blockchain-based
personal data management system. With increasing data privacy and security concerns …

Federated Learning (FL), hailed as a potent approach in merging medical expertise,
promises to elevate collaborative efforts among healthcare institutions while safeguarding …

This systematic literature review explores the use of blockchain technology to improve the
security of communication between IoT devices in the healthcare sector. The integration of …

In today's digital landscape, the security of identities and access to sensitive information is
paramount. Traditional identity and access management (IAM) systems are often …