Federated learning for healthcare: Systematic review and architecture proposal
The use of machine learning (ML) with electronic health records (EHR) is growing in
popularity as a means to extract knowledge that can improve the decision-making process in …
popularity as a means to extract knowledge that can improve the decision-making process in …
Blockchain-empowered federated learning: Challenges, solutions, and future directions
Federated learning is a privacy-preserving machine learning technique that trains models
across multiple devices holding local data samples without exchanging them. There are …
across multiple devices holding local data samples without exchanging them. There are …
Federated deep learning for cyber security in the internet of things: Concepts, applications, and experimental analysis
In this article, we present a comprehensive study with an experimental analysis of federated
deep learning approaches for cyber security in the Internet of Things (IoT) applications …
deep learning approaches for cyber security in the Internet of Things (IoT) applications …
[HTML][HTML] Blockchain applications in health care for COVID-19 and beyond: a systematic review
The COVID-19 pandemic has had a substantial and global impact on health care, and has
greatly accelerated the adoption of digital technology. One of these emerging digital …
greatly accelerated the adoption of digital technology. One of these emerging digital …
Blockchain-enabled federated learning: A survey
Federated learning (FL) has experienced a boom in recent years, which is jointly promoted
by the prosperity of machine learning and Artificial Intelligence along with emerging privacy …
by the prosperity of machine learning and Artificial Intelligence along with emerging privacy …
The applications of machine learning techniques in medical data processing based on distributed computing and the Internet of Things
S Aminizadeh, A Heidari, S Toumaj, M Darbandi… - Computer methods and …, 2023 - Elsevier
Medical data processing has grown into a prominent topic in the latest decades with the
primary goal of maintaining patient data via new information technologies, including the …
primary goal of maintaining patient data via new information technologies, including the …
[HTML][HTML] Applications of federated learning; Taxonomy, challenges, and research trends
The federated learning technique (FL) supports the collaborative training of machine
learning and deep learning models for edge network optimization. Although a complex edge …
learning and deep learning models for edge network optimization. Although a complex edge …
Blockchain meets federated learning in healthcare: A systematic review with challenges and opportunities
R Myrzashova, SH Alsamhi… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
Recently, innovations in the Internet of Medical Things (IoMT), information and
communication technologies, and machine learning (ML) have enabled smart healthcare …
communication technologies, and machine learning (ML) have enabled smart healthcare …
[HTML][HTML] FL-PMI: federated learning-based person movement identification through wearable devices in smart healthcare systems
Recent technological developments, such as the Internet of Things (IoT), artificial
intelligence, edge, and cloud computing, have paved the way in transforming traditional …
intelligence, edge, and cloud computing, have paved the way in transforming traditional …
Multifunctional fiber‐enabled intelligent health agents
The application of wearable devices is promoting the development toward digitization and
intelligence in the field of health. However, the current smart devices centered on human …
intelligence in the field of health. However, the current smart devices centered on human …