Federated learning for internet of things: A comprehensive survey

DC Nguyen, M Ding, PN Pathirana… - … Surveys & Tutorials, 2021 - ieeexplore.ieee.org
The Internet of Things (IoT) is penetrating many facets of our daily life with the proliferation of
intelligent services and applications empowered by artificial intelligence (AI). Traditionally …

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 …

Collaborative sensing in Internet of Things: A comprehensive survey

S He, K Shi, C Liu, B Guo, J Chen… - … Surveys & Tutorials, 2022 - ieeexplore.ieee.org
Collaborative sensing leverages the cooperation of a collection of sensors to complete a
large-scale sensing task in Internet of Things (IoT). Although some previous studies have …

Edge intelligence: Empowering intelligence to the edge of network

D Xu, T Li, Y Li, X Su, S Tarkoma, T Jiang… - Proceedings of the …, 2021 - ieeexplore.ieee.org
Edge intelligence refers to a set of connected systems and devices for data collection,
caching, processing, and analysis proximity to where data are captured based on artificial …

Block hunter: Federated learning for cyber threat hunting in blockchain-based iiot networks

A Yazdinejad, A Dehghantanha… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Nowadays, blockchain-based technologies are being developed in various industries to
improve data security. In the context of the Industrial Internet of Things (IIoT), a chain-based …

How can artificial intelligence impact sustainability: A systematic literature review

AK Kar, SK Choudhary, VK Singh - Journal of Cleaner Production, 2022 - Elsevier
We need a proper mechanism to manage issues related to our environment, economy, and
society to proceed toward sustainability. Many researchers have worked for sustainable …

Blockchain-empowered federated learning: Challenges, solutions, and future directions

J Zhu, J Cao, D Saxena, S Jiang, H Ferradi - ACM Computing Surveys, 2023 - dl.acm.org
Federated learning is a privacy-preserving machine learning technique that trains models
across multiple devices holding local data samples without exchanging them. There are …

Blockchain technology for intelligent transportation systems: A systematic literature review

R Jabbar, E Dhib, AB Said, M Krichen, N Fetais… - IEEE …, 2022 - ieeexplore.ieee.org
The use of Blockchain technology has recently become widespread. It has emerged as an
essential tool in various academic and industrial fields, such as healthcare, transportation …

A comprehensive survey on the applications of blockchain for securing vehicular networks

T Alladi, V Chamola, N Sahu… - … Surveys & Tutorials, 2022 - ieeexplore.ieee.org
Vehicular networks promise features such as traffic management, route scheduling, data
exchange, entertainment, and much more. With any large-scale technological integration …

Blockchain-enabled federated learning: A survey

Y Qu, MP Uddin, C Gan, Y Xiang, L Gao… - ACM Computing …, 2022 - dl.acm.org
Federated learning (FL) has experienced a boom in recent years, which is jointly promoted
by the prosperity of machine learning and Artificial Intelligence along with emerging privacy …