Privacy-preserving blockchain-based federated learning for marine Internet of Things

Z Qin, J Ye, J Meng, B Lu… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The marine Internet of things (MIoT) is the application of the Internet of things technology in
the marine field. Nowadays, with the arrival of the era of big data, the MIoT architecture has …

Sandbox computing: A data privacy trusted sharing paradigm via blockchain and federated learning

S Guo, K Zhang, B Gong, L Chen… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
As a new trusted data sharing pattern with privacy protection, the integration mechanism of
blockchain and Federated Learning has attracted extensive attention. Generally, this …

Federated learning and blockchain integration for privacy protection in the internet of things: Challenges and solutions

M Al Asqah, T Moulahi - Future Internet, 2023 - mdpi.com
The Internet of Things (IoT) compromises multiple devices connected via a network to
perform numerous activities. The large amounts of raw user data handled by IoT operations …

Integration of blockchain and federated learning for Internet of Things: Recent advances and future challenges

M Ali, H Karimipour, M Tariq - Computers & Security, 2021 - Elsevier
The role of the Internet of Things (IoT) in the revolutionized society cannot be overlooked.
The IoT can leverage advanced machine learning (ML) algorithms for its applications …

Blockchain-based practical and privacy-preserving federated learning with verifiable fairness

Y Zhang, Y Tang, Z Zhang, M Li, Z Li, S Khan, H Chen… - Mathematics, 2023 - mdpi.com
Federated learning (FL) has been widely used in both academia and industry all around the
world. FL has advantages from the perspective of data security, data diversity, real-time …

A privacy-preserving and verifiable federated learning method based on blockchain

C Fang, Y Guo, J Ma, H Xie, Y Wang - Computer Communications, 2022 - Elsevier
As a novel distributed learning mechanism, federated learning has drawn widespread
attention by allowing multiple parties to train an accurate model collaboratively without …

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 …

Blockchain and federated learning for privacy-preserved data sharing in industrial IoT

Y Lu, X Huang, Y Dai, S Maharjan… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
The rapid increase in the volume of data generated from connected devices in industrial
Internet of Things paradigm, opens up new possibilities for enhancing the quality of service …

Blockchain-enabled secure and trusted federated data sharing in IIoT

Z Zhou, Y Tian, J Xiong, J Ma… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Federated learning breaks down data silos and promotes the intelligence of the Industrial
Internet of Things (IIoT). However, the principal–agent architecture commonly used in …

A framework for privacy-preservation of IoT healthcare data using Federated Learning and blockchain technology

S Singh, S Rathore, O Alfarraj, A Tolba… - Future Generation …, 2022 - Elsevier
With the dramatically increasing deployment of IoT (Internet-of-Things) and communication,
data has always been a major priority to achieve intelligent healthcare in a smart city. For the …