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 …

Securing federated learning with blockchain: a systematic literature review

A Qammar, A Karim, H Ning, J Ding - Artificial Intelligence Review, 2023 - Springer
Federated learning (FL) is a promising framework for distributed machine learning that trains
models without sharing local data while protecting privacy. FL exploits the concept of …

Swarm learning for decentralized artificial intelligence in cancer histopathology

OL Saldanha, P Quirke, NP West, JA James… - Nature medicine, 2022 - nature.com
Artificial intelligence (AI) can predict the presence of molecular alterations directly from
routine histopathology slides. However, training robust AI systems requires large datasets …

Drones' edge intelligence over smart environments in B5G: Blockchain and federated learning synergy

SH Alsamhi, FA Almalki, F Afghah… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Edge Intelligence is an emerging technology which has attracted significant attention. It
applies Artificial Intelligence (AI) closer to the network edge for supporting Beyond fifth …

Blockchain for federated learning toward secure distributed machine learning systems: a systemic survey

D Li, D Han, TH Weng, Z Zheng, H Li, H Liu… - Soft Computing, 2022 - Springer
Federated learning (FL) is a promising decentralized deep learning technology, which
allows users to update models cooperatively without sharing their data. FL is reshaping …

Blockchain-based federated learning methodologies in smart environments

D Li, Z Luo, B Cao - Cluster Computing, 2022 - Springer
Blockchain technology is an undeniable ledger technology that stores transactions in high-
security chains of blocks. Blockchain can solve security and privacy issues in a variety of …

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 …

Privacy-preserving and byzantine-robust federated learning framework using permissioned blockchain

H Kasyap, S Tripathy - Expert Systems with Applications, 2024 - Elsevier
Data is readily available with the growing number of smart and IoT devices. However,
application-specific data is available in small chunks and distributed across demographics …

Federated learning attacks and defenses: A survey

Y Chen, Y Gui, H Lin, W Gan… - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
In terms of artificial intelligence, there are several security and privacy deficiencies in the
traditional centralized training methods of machine learning models by a server. To address …

[HTML][HTML] A systematic review of privacy-preserving methods deployed with blockchain and federated learning for the telemedicine

M Hiwale, R Walambe, V Potdar, K Kotecha - Healthcare Analytics, 2023 - Elsevier
The unexpected and rapid spread of the COVID-19 pandemic has amplified the acceptance
of remote healthcare systems such as telemedicine. Telemedicine effectively provides …