Results 121 to 130 of about 129,870 (304)

CCM-FL: Covert communication mechanisms for federated learning in crowd sensing IoT

open access: yesDigital Communications and Networks
The past decades have witnessed a wide application of federated learning in crowd sensing, to handle the numerous data collected by the sensors and provide the users with precise and customized services.
Hongruo Zhang   +4 more
doaj   +1 more source

SpartanAnatomy.org: Evaluating a new interactive neuroradiology tool for early medical education

open access: yesAnatomical Sciences Education, EarlyView.
Abstract Teaching neuroanatomy through the lens of magnetic resonance imaging (MRI) offers medical students a strong foundation for success. However, many existing MRI learning resources lack interactivity and user‐friendliness, require payment, or include an overwhelming number of labeled structures.
Halie Kerver   +3 more
wiley   +1 more source

Detecting Electrocardiogram Arrhythmia Empowered With Weighted Federated Learning

open access: yesIEEE Access
In this study, a weighted federated learning approach is proposed for electrocardiogram (ECG) arrhythmia classification. The proposed approach considers the heterogeneity of data distribution among multiple clients in federated learning settings.
Rizwana Naz Asif   +6 more
doaj   +1 more source

Federated Learning and Privacy [PDF]

open access: bronze, 2021
Kallista Bonawitz   +3 more
openalex   +1 more source

Anatomists' experience and perspectives on the international transfer of human remains for the purpose of education

open access: yesAnatomical Sciences Education, EarlyView.
Abstract Anecdotally, educational institutions without access to human remains may choose to import these from other countries; however, there is currently no published information illuminating the existence of this trade. This study therefore aimed to document the nature of international transfer of human remains for education, and explore anatomists'
Jackie Hazelhurst   +7 more
wiley   +1 more source

Transformer-Based Federated Learning Models for Recommendation Systems

open access: yesIEEE Access
In today’s data-driven environment, safeguarding user privacy is a top priority, particularly in machine learning applications. Our study introduces an innovative approach that combines the privacy-preserving attributes of federated learning with ...
M. Sujaykumar Reddy   +2 more
doaj   +1 more source

How the HTAR will contribute to a value‐based decision‐making for medicinal products across the EU

open access: yesBritish Journal of Clinical Pharmacology, EarlyView.
The European Union Health Technology Regulation 2021/2282 (HTAR) introduces joint assessment of health technologies (including medicinal products and medical devices) across EU Member States. It was signed into law in 2021 and came into full force in January 2025.
Roisin Adams, Michal Stanak
wiley   +1 more source

Federated learning for automotive applications

open access: yesJournal of Highway and Transportation Research and Development
This paper presents and evaluates a new distributed learning technology, called federated learning, and its applications in automotive systems. We review and classify existing approaches to federated learning, focusing on its implementation in connected ...
William Lindskog-Münzing   +1 more
doaj   +1 more source

A Vertical Federated Learning Framework for Graph Convolutional Network [PDF]

open access: green, 2021
Xiang Ni   +4 more
openalex   +1 more source

FLEX: Flexible Federated Learning Framework

open access: yesInformation Fusion
Submitted to Information ...
F. Herrera   +8 more
openaire   +3 more sources

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