A federated learning-inspired evolutionary algorithm: Application to glucose prediction
In this paper, we propose an innovative Federated Learning-inspired evolutionary
framework. Its main novelty is that this is the first time that an Evolutionary Algorithm is …
framework. Its main novelty is that this is the first time that an Evolutionary Algorithm is …
[HTML][HTML] Model-free-communication federated learning: framework and application to precision medicine
The problem of executing machine learning algorithms over data while complying with data
privacy is highly relevant in many application areas, including medicine in general and …
privacy is highly relevant in many application areas, including medicine in general and …
Federated learning of predictive models from real data on diabetic patients
GJ Pezzullo, A Esposito, B Di Martino - International conference on …, 2023 - Springer
Abstract Today Federated Learning is gaining more and more notoriety in the medical field,
especially since it can guarantee the privacy of sensitive data, unlike Machine Learning …
especially since it can guarantee the privacy of sensitive data, unlike Machine Learning …
Blockchain-based federated learning in medicine
Worldwide epidemic events have confirmed the need for medical data processing tools
while bringing issues of data privacy, transparency and usage consent to the front …
while bringing issues of data privacy, transparency and usage consent to the front …
[PDF][PDF] Early detection of type-2 diabetes using federated learning
M Lincy, AM Kowshalya - … Journal of Scientific Research in Science …, 2020 - academia.edu
Data privacy and security are incredibly important in the healthcare industry. Federated
learning is a new way of training a machine learning algorithm using distributed data which …
learning is a new way of training a machine learning algorithm using distributed data which …
[HTML][HTML] A federated mining approach on predicting diabetes-related complications: Demonstration using real-world clinical data
Chronic diabetes can lead to microvascular complications, including diabetic eye disease,
diabetic kidney disease, and diabetic neuropathy. However, the long-term complications …
diabetic kidney disease, and diabetic neuropathy. However, the long-term complications …
Fed-biomed: A general open-source frontend framework for federated learning in healthcare
While data in healthcare is produced in quantities never imagined before, the feasibility of
clinical studies is often hindered by the problem of data access and transfer, especially …
clinical studies is often hindered by the problem of data access and transfer, especially …
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 …
Challenges and trends in federated learning for well-being and healthcare
Abstract Currently, research in Artificial Intelligence, both in Machine Learning and Deep
Learning, paves the way for promising innovations in several areas. In healthcare …
Learning, paves the way for promising innovations in several areas. In healthcare …
[HTML][HTML] Role of federated learning in healthcare systems: A survey
Nowadays, machine learning affects practically every industry, but the effectiveness of these
systems depends on the accessibility of training data sets. Every device now produces data …
systems depends on the accessibility of training data sets. Every device now produces data …