Blockchain-based two-stage federated learning with non-IID data in IoMT system

Z Lian, Q Zeng, W Wang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The Internet of Medical Things (IoMT) has a bright future with the development of smart
mobile devices. Information technology is also leading changes in the healthcare industry …

Higher education during lockdown: Literature review and implications on technology design

S Laato, A Farooq, H Vilppu, A Airola… - Education Research …, 2022 - Wiley Online Library
Countries globally reacted to the COVID‐19 pandemic by imposing lockdowns, and as a
consequence, higher education institutions were forced to rapidly transition into distance …

Critical research trends of mobile technology-supported English language learning: A review of the top 100 highly cited articles

MM Elaish, MH Hussein, GJ Hwang - Education and information …, 2023 - Springer
Around the world, the number of English speakers and the significance of the English
language are constantly increasing. Among various technology-supported instructional …

Secure and decentralized federated learning framework with non-IID data based on blockchain

F Zhang, Y Zhang, S Ji, Z Han - Heliyon, 2024 - cell.com
Federated learning enables the collaborative training of machine learning models across
multiple organizations, eliminating the need for sharing sensitive data. Nevertheless, in …

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 …

Federated Computing--Survey on Building Blocks, Extensions and Systems

R Schwermer, R Mayer, HA Jacobsen - arXiv preprint arXiv:2404.02779, 2024 - arxiv.org
In response to the increasing volume and sensitivity of data, traditional centralized
computing models face challenges, such as data security breaches and regulatory hurdles …

Federated Computing Systems In The Context of Energy Informatics

RK Schwermer - 2024 - mediatum.ub.tum.de
Federated computing (FC) is an emerging privacy-preserving computing model. It consists of
federated analytics and federated learning. Besides privacy enhancement, FC also helps …