Blockchain-empowered federated learning for healthcare metaverses: User-centric incentive mechanism with optimal data freshness

J Kang, J Wen, D Ye, B Lai, T Wu… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Given the revolutionary role of metaverses, healthcare metaverses are emerging as a
transformative force, creating intelligent healthcare systems that offer immersive and …

A survey on federated learning for the healthcare metaverse: Concepts, applications, challenges, and future directions

AK Bashir, N Victor, S Bhattacharya… - arXiv preprint arXiv …, 2023 - arxiv.org
Recent technological advancements have considerately improved healthcare systems to
provide various intelligent healthcare services and improve the quality of life. Federated …

Blockchain-based federated learning for industrial metaverses: Incentive scheme with optimal aoi

J Kang, D Ye, J Nie, J Xiao, X Deng… - 2022 IEEE …, 2022 - ieeexplore.ieee.org
The emerging industrial metaverses realize the map-ping and expanding operations of
physical industry into virtual space for significantly upgrading intelligent manufacturing. The …

Federated learning for the healthcare metaverse: Concepts, applications, challenges, and future directions

AK Bashir, N Victor, S Bhattacharya… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
Recent technological advancements have considerably improved healthcare systems to
provide various intelligent services, improving life quality. The Metaverse, often described as …

Federated learning for privacy preservation in smart healthcare systems: A comprehensive survey

M Ali, F Naeem, M Tariq… - IEEE journal of biomedical …, 2022 - ieeexplore.ieee.org
Recent advances in electronic devices and communication infrastructure have
revolutionized the traditional healthcare system into a smart healthcare system by using …

On the privacy and security for e-health services in the metaverse: An overview

M Letafati, S Otoum - Ad Hoc Networks, 2023 - Elsevier
Metaverse-enabled healthcare systems are expected to efficiently utilize an unprecedented
amount of health-related data without disclosing sensitive or private information of …

Federated learning for metaverse: A survey

Y Chen, S Huang, W Gan, G Huang, Y Wu - Companion Proceedings of …, 2023 - dl.acm.org
The metaverse, which is at the stage of innovation and exploration, faces the dilemma of
data collection and the problem of private data leakage in the process of development. This …

When collaborative federated learning meets blockchain to preserve privacy in healthcare

Z Abou El Houda, AS Hafid… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Data-driven Machine and Deep Learning (ML/DL) is an emerging approach that uses
medical data to build robust and accurate ML/DL models that can improve clinical decisions …

Blockchain-orchestrated machine learning for privacy preserving federated learning in electronic health data

J Passerat-Palmbach, T Farnan… - 2020 IEEE …, 2020 - ieeexplore.ieee.org
Machine learning and blockchain technology have been explored for potential applications
in medicine with only modest success to date. Focus has shifted to exploring the intersection …

A redactable blockchain framework for secure federated learning in industrial Internet of Things

J Wei, Q Zhu, Q Li, L Nie, Z Shen… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
Industrial Internet of Things (IIoT) facilitate private data collecting via (a broad range of)
sensors, and the analysis of such data can inform decision making at different levels …