Federated learning meets blockchain in edge computing: Opportunities and challenges

DC Nguyen, M Ding, QV Pham… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
Mobile-edge computing (MEC) has been envisioned as a promising paradigm to handle the
massive volume of data generated from ubiquitous mobile devices for enabling intelligent …

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 …

Federated deep learning for cyber security in the internet of things: Concepts, applications, and experimental analysis

MA Ferrag, O Friha, L Maglaras, H Janicke… - IEEE Access, 2021 - ieeexplore.ieee.org
In this article, we present a comprehensive study with an experimental analysis of federated
deep learning approaches for cyber security in the Internet of Things (IoT) applications …

Biscotti: A blockchain system for private and secure federated learning

M Shayan, C Fung, CJM Yoon… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Federated Learning is the current state-of-the-art in supporting secure multi-party machine
learning (ML): data is maintained on the owner's device and the updates to the model are …

Integration of blockchain and edge computing in internet of things: A survey

H Xue, D Chen, N Zhang, HN Dai, K Yu - Future Generation Computer …, 2023 - Elsevier
As an important technology to ensure data security, consistency, traceability, etc., blockchain
has been increasingly used in Internet of Things (IoT) applications. The integration of …

A survey of blockchain and artificial intelligence for 6G wireless communications

Y Zuo, J Guo, N Gao, Y Zhu, S Jin… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
The research on the sixth-generation (6G) wireless communications for the development of
future mobile communication networks has been officially launched around the world. 6G …

Blockchain and federated learning-based intrusion detection approaches for edge-enabled industrial IoT networks: A survey

S Ali, Q Li, A Yousafzai - Ad Hoc Networks, 2024 - Elsevier
The industrial internet of things (IIoT) is an evolutionary extension of the traditional Internet of
Things (IoT) into processes and machines for applications in the industrial sector. The IIoT …

Integrating edge intelligence and blockchain: What, why, and how

X Wang, X Ren, C Qiu, Z Xiong, H Yao… - … Surveys & Tutorials, 2022 - ieeexplore.ieee.org
Driven by an unprecedented boom in artificial intelligence (AI) and Internet of Things (IoT),
edge intelligence (EI) pushes the frontier of AI from cloud to network edge, serving as a …

Blockchain on security and forensics management in edge computing for IoT: A comprehensive survey

Z Liao, X Pang, J Zhang, B Xiong… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Security and forensics represent two key components for network management, especially
to guarantee the trusted operation of massive access networks such as the Internet of Things …

Blockchain-enabled federated learning for UAV edge computing network: Issues and solutions

C Zhu, X Zhu, J Ren, T Qin - Ieee Access, 2022 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) extend the traditional ground-based Internet of Things
(IoT) into the air. UAV mobile edge computing (MEC) architectures have been proposed by …