Reviewing federated machine learning and its use in diseases prediction
Machine learning (ML) has succeeded in improving our daily routines by enabling
automation and improved decision making in a variety of industries such as healthcare …
automation and improved decision making in a variety of industries such as healthcare …
The significance of machine learning in clinical disease diagnosis: A review
The global need for effective disease diagnosis remains substantial, given the complexities
of various disease mechanisms and diverse patient symptoms. To tackle these challenges …
of various disease mechanisms and diverse patient symptoms. To tackle these challenges …
Machine and deep learning for iot security and privacy: applications, challenges, and future directions
The integration of the Internet of Things (IoT) connects a number of intelligent devices with
minimum human interference that can interact with one another. IoT is rapidly emerging in …
minimum human interference that can interact with one another. IoT is rapidly emerging in …
Exploring privacy measurement in federated learning
Federated learning (FL) is a collaborative artificial intelligence (AI) approach that enables
distributed training of AI models without data sharing, thereby promoting privacy by design …
distributed training of AI models without data sharing, thereby promoting privacy by design …
Comparative analysis of open-source federated learning frameworks-a literature-based survey and review
P Riedel, L Schick, R von Schwerin, M Reichert… - International Journal of …, 2024 - Springer
Abstract While Federated Learning (FL) provides a privacy-preserving approach to analyze
sensitive data without centralizing training data, the field lacks an detailed comparison of …
sensitive data without centralizing training data, the field lacks an detailed comparison of …
Federated learning with deep convolutional neural networks for the detection of multiple chest diseases using chest x-rays
The increasing global incidence of COVID-19 necessitates the rapid development of a
reliable method for diagnosing the disease. The virus is spreading so quickly, that medical …
reliable method for diagnosing the disease. The virus is spreading so quickly, that medical …
Transparency and privacy: the role of explainable ai and federated learning in financial fraud detection
T Awosika, RM Shukla, B Pranggono - IEEE Access, 2024 - ieeexplore.ieee.org
Fraudulent transactions and how to detect them remain a significant problem for financial
institutions around the world. The need for advanced fraud detection systems to safeguard …
institutions around the world. The need for advanced fraud detection systems to safeguard …
[HTML][HTML] A survey of security strategies in federated learning: Defending models, data, and privacy
Federated Learning (FL) has emerged as a transformative paradigm in machine learning,
enabling decentralized model training across multiple devices while preserving data …
enabling decentralized model training across multiple devices while preserving data …
The role of llms in sustainable smart cities: Applications, challenges, and future directions
Smart cities stand as pivotal components in the ongoing pursuit of elevating urban living
standards, facilitating the rapid expansion of urban areas while efficiently managing …
standards, facilitating the rapid expansion of urban areas while efficiently managing …
Federated learning based privacy ensured sensor communication in IoT networks: a taxonomy, threats and attacks
Our daily lives are significantly impacted by intelligent Internet of Things (IoT) application,
services, IoT gadgets, and more intelligent industries. Artificial Intelligence (AI) is anticipated …
services, IoT gadgets, and more intelligent industries. Artificial Intelligence (AI) is anticipated …