Blockchained Federated Learning for Internet of Things: A Comprehensive Survey

Y Jiang, B Ma, X Wang, G Yu, P Yu, Z Wang… - ACM Computing …, 2023 - dl.acm.org
The demand for intelligent industries and smart services based on big data is rising rapidly
with the increasing digitization and intelligence of the modern world. This survey …

Exploring the role of Convolutional Neural Networks (CNN) in dental radiography segmentation: A comprehensive Systematic Literature Review

W Brahmi, I Jdey, F Drira - Engineering Applications of Artificial Intelligence, 2024 - Elsevier
In dentistry, there is a growing need for accurate diagnostic tools, particularly advanced
imaging techniques such as Computed Tomography (CT), Cone Beam Computed …

Investigating Deep Learning for Early Detection and Decision-Making in Alzheimer's Disease: A Comprehensive Review

G Hcini, I Jdey, H Dhahri - Neural Processing Letters, 2024 - Springer
Alzheimer's disease (AD) is a neurodegenerative disorder that affects millions of people
worldwide, making early detection essential for effective intervention. This review paper …

Decentralized medical image classification system using dual-input CNN enhanced by spatial attention and heuristic support

D Połap, A Jaszcz - Expert Systems with Applications, 2024 - Elsevier
Abstract The Internet of Medical Things (IoMT) enables the construction of expert systems
that can use shared resources or data. In this work, we present a new IoMT operation model …

Privacy-preserving blockchain-based federated learning for brain tumor segmentation

R Kumar, CM Bernard, A Ullah, RU Khan… - Computers in Biology …, 2024 - Elsevier
Improved data sharing between healthcare providers can lead to a higher probability of
accurate diagnosis, more effective treatments, and enhanced capabilities of healthcare …

[HTML][HTML] Privacy as a Lifestyle: Empowering assistive technologies for people with disabilities, challenges and future directions

A Habbal, H Hamouda, AM Alnajim, S Khan… - Journal of King Saud …, 2024 - Elsevier
Between the changing Industry 4.0 landscape and the rise of Industry 5.0, where human
intelligence and intelligent machines work together, vast amounts of privacy-sensitive data …

Integration of Federated Learning and Blockchain in Healthcare: A Tutorial

Y Shahsavari, OA Dambri, Y Baseri, AS Hafid… - arXiv preprint arXiv …, 2024 - arxiv.org
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 …

[PDF][PDF] Federated Learning in Real-Time Medical IoT: Optimizing Privacy and Accuracy for Chronic Disease Monitoring.

D Patil, S Goel, SK Garud… - Journal of …, 2023 - pdfs.semanticscholar.org
The rising occurrence of long-term illnesses requires inventive and effective healthcare
solutions, and the incorporation of Internet of Things (IoT) technologies holds significant …