Results 111 to 120 of about 91,570 (234)

Transformer-Based Federated Learning Models for Recommendation Systems

IEEE 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, Hemanth Karnati, L. Mohana Sundari   +2 more
doaj   +1 more source

“Because everybody's different”: Co‐designing body donor program consent processes

Anatomical Sciences Education, EarlyView.
Abstract While it is broadly accepted that body donation for anatomical education should rely on informed consent, consent processes vary substantially. Best practice guidelines for body donation are typically published by anatomical societies and may not reflect details valued by prospective donors or the educators and students who utilize donor ...
Georgina C. Stephens
wiley   +1 more source

Federated learning for automotive applications

Journal 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, Christian Prehofer   +1 more
doaj   +1 more source

Using artificial intelligence thanabots as “thanatobots” to assist anatomy learning and professional development: Ghosts masquerading as opportunity?

Anatomical Sciences Education, EarlyView.
Thanabots—AI‐generated digital representations of deceased donors—could enhance anatomy education by linking medical history with anatomy and fostering humanistic engagement. However, their use poses ethical questions and carries psychological risks, including issues around consent, authenticity, and emotional harm.
Jon Cornwall, Sabine Hildebrandt
wiley   +1 more source

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

Digital 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, Yifei Zou, Haofei Yin, Dongxiao Yu, Xiuzhen Cheng   +4 more
doaj   +1 more source

FLEX: Flexible Federated Learning Framework

Information Fusion
Submitted to Information ...
F. Herrera, D. Jiménez-López, A. Argente-Garrido, N. Rodríguez-Barroso, C. Zuheros, I. Aguilera-Martos, B. Bello, M. García-Márquez, M.V. Luzón   +8 more
openaire   +3 more sources

From concept to community of practice in anatomical ethics and professionalism: 5 years of the “Bioethics Unicorns” education initiative

Anatomical Sciences Education, EarlyView.
Abstract The topics of ethics and professionalism in anatomy have only recently gained prominence within the discipline, reflecting trends in medical and health professions education and an increasing awareness of societal expectations around the use of the dead.
Jon Cornwall, Sabine Hildebrandt, Thomas Champney   +2 more
wiley   +1 more source

SemFedXAI: A Semantic Framework for Explainable Federated Learning in Healthcare

Information
Federated Learning (FL) is emerging as an encouraging paradigm for AI model training in healthcare that enables collaboration among institutions without revealing sensitive information.
Alba Amato, Dario Branco
doaj   +1 more source

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

British 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

Through the lens of marketing authorization holders: experience in use of real‐world data and real‐world evidence in drug development and regulatory submissions in EU

British Journal of Clinical Pharmacology, EarlyView.
Abstract Aim The aim of this study was to assess the general and product‐specific experiences of MAHs use of RWD/RWE in medicines development and in their regulatory submissions, and to explore organizational aspects of MAHs related to RWD/RWE. Methods An electronic survey was conducted, and information collected directly from MAHs.
Sini M. Eskola, Aleksandar Gigov, Hubertus G. M. Leufkens, Andrew Bate, Marie Louise De Bruin, Helga Gardarsdottir   +5 more
wiley   +1 more source