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 …

A survey of blockchain and artificial intelligence for 6G wireless communications

Y Zuo, J Guo, N Gao, Y Zhu, S **… - … 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 …

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 …

Blockchain intelligence for internet of vehicles: Challenges and solutions

X Wang, H Zhu, Z Ning, L Guo… - … Surveys & Tutorials, 2023‏ - ieeexplore.ieee.org
With the development of communication and networking technologies, the Internet of
Vehicles (IoV) has become the foundation of smart transportation. The development of …

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 …

Autonomous vehicles security: Challenges and solutions using blockchain and artificial intelligence

G Bendiab, A Hameurlaine, G Germanos… - IEEE Transactions …, 2023‏ - ieeexplore.ieee.org
The arrival of autonomous vehicles (AVs) promises many great benefits, including increased
safety and reduced energy consumption, pollution, and congestion. However, these engines …

Blockchain-enabled federated learning: A survey

Y Qu, MP Uddin, C Gan, Y **ang, 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 …

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 …