Deep reinforcement learning assisted federated learning algorithm for data management of IIoT

P Zhang, C Wang, C Jiang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The continuous expanded scale of the industrial Internet of Things (IIoT) leads to IIoT
equipments generating massive amounts of user data every moment. According to the …

[HTML][HTML] A survey on blockchain for industrial internet of things

RL Kumar, F Khan, S Kadry, S Rho - Alexandria Engineering Journal, 2022 - Elsevier
Blockchain and the Internet of Things (IoT) are separately regarded as highly capable
popular technologies. Blockchain is a database used for decentralized transaction …

Security of Vehicular Ad Hoc Networks using blockchain: A comprehensive review

J Grover - Vehicular Communications, 2022 - Elsevier
The most advanced and emerging component of an intelligent transportation system (ITS) is
the vehicular ad hoc network (VANET). Vehicles communicate with nearby vehicles or road …

Edge intelligence for energy-efficient computation offloading and resource allocation in 5G beyond

Y Dai, K Zhang, S Maharjan… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
5G beyond is an end-edge-cloud orchestrated network that can exploit heterogeneous
capabilities of the end devices, edge servers, and the cloud and thus has the potential to …

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 …

Level-5 autonomous driving—are we there yet? a review of research literature

MA Khan, HE Sayed, S Malik, T Zia, J Khan… - ACM Computing …, 2022 - dl.acm.org
Autonomous vehicles are revolutionizing transport and next-generation autonomous
mobility. Such vehicles are promising to increase road safety, improve traffic efficiency …

Deep reinforcement learning and permissioned blockchain for content caching in vehicular edge computing and networks

Y Dai, D Xu, K Zhang, S Maharjan… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Vehicular Edge Computing (VEC) is a promising paradigm to enable huge amount of data
and multimedia content to be cached in proximity to vehicles. However, high mobility of …

A blockchain and artificial intelligence-based, patient-centric healthcare system for combating the COVID-19 pandemic: Opportunities and applications

MY Jabarulla, HN Lee - Healthcare, 2021 - mdpi.com
The world is facing multiple healthcare challenges because of the emergence of the COVID-
19 (coronavirus) pandemic. The pandemic has exposed the limitations of handling public …

Federated-learning based privacy preservation and fraud-enabled blockchain IoMT system for healthcare

A Lakhan, MA Mohammed, J Nedoma… - IEEE journal of …, 2022 - ieeexplore.ieee.org
These days, the usage of machine-learning-enabled dynamic Internet of Medical Things
(IoMT) systems with multiple technologies for digital healthcare applications has been …

Dynamic digital twin and federated learning with incentives for air-ground networks

W Sun, N Xu, L Wang, H Zhang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
The air-ground network provides users with seamless connections and real-time services,
while its resource constraint triggers a paradigm shift from machine learning to federated …