Federated learning meets blockchain in edge computing: Opportunities and challenges

DC Nguyen, M Ding, QV Pham… - … Internet of Things …, 2021 - ieeexplore.ieee.org
… survey the integration of FL and blockchain in edge computing, to the best … blockchain for
enabling intelligent and secure edge networks, beginning with an introduction to FL, blockchain

Blockchain and federated deep reinforcement learning based secure cloud-edge-end collaboration in power IoT

S Zhang, Z Wang, Z Zhou, Y Wang… - IEEE Wireless …, 2022 - ieeexplore.ieee.org
… adapted to the device, edge, and cloud layers to … of blockchain-empowered cloud-edge-end
collaboration in three PIoT scenarios. Third, we develop a blockchain-empowered federated

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
… 3) We integrate differential privacy into federated learning to … describe permissioned
blockchain and federated learning for … Due to the constrained resources of edge users and their …

ChainFL: A simulation platform for joint federated learning and blockchain in edge/cloud computing environments

G Qu, N Cui, H Wu, R Li, Y Ding - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
… In the process of computation offloading in edge computing, it is critical … edge computing
environment among IoT devices while being compatible with federated learning and blockchain

Blockchain and federated edge learning for privacy-preserving mobile crowdsensing

Q Hu, Z Wang, M Xu, X Cheng - IEEE Internet of Things Journal, 2021 - ieeexplore.ieee.org
learning framework leveraging on blockchain technology and the new concept of edge
intelligence based on federated learning (FL… , including requestors, blockchain, edge servers and …

Communication-efficient federated learning and permissioned blockchain for digital twin edge networks

Y Lu, X Huang, K Zhang, S Maharjan… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
… digital twins with edge networks and propose the digital twin edge networks (DITENs… edge
networks and digital systems. Then, we propose a blockchain-empowered federated learning

Privacy-preserved cyberattack detection in Industrial Edge of Things (IEoT): A blockchain-orchestrated federated learning approach

M Abdel-Basset, N Moustafa… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
… When the misconduct of a fraudulent participant is identified and deemed unacceptable,
then it would call CC to penalize it using blockchain tokens, and thereby decrease the relevant …

Privacy-preserving blockchain-based federated learning for IoT devices

Y Zhao, J Zhao, L Jiang, R Tan, D Niyato… - … Internet of Things …, 2020 - ieeexplore.ieee.org
… a federated learning (FL) system leveraging a reputation mechanism to assist home appliance
manufacturers to train a machine learning … task to the edge computing server. Then, the …

[PDF][PDF] Mobile edge computing, blockchain and reputation-based crowdsourcing IoT federated learning: A secure, decentralized and privacy-preserving system

Y Zhao, J Zhao, L Jiang, R Tan… - arXiv preprint arXiv …, 2019 - academia.edu
IoT device manufacturers analyze and predict customers’ usage of IoT devices, we design a
crowdsourcing federated learning … , the federated learning in the blockchain well addresses …

Blockchain assisted federated learning for enabling network edge intelligence

Y Wang, J Zhou, G Feng, X Niu, S Qin - IEEE Network, 2022 - ieeexplore.ieee.org
… , we develop a blockchain assisted federated learning (BC-FL… Meanwhile, we propose to use
blockchain to implement audit… Thus, it is imperative to develop a safe and reliable federated