Federated learning for smart cities: A comprehensive survey
With the advent of new technologies such as the Artificial Intelligence of Things (AIoT), big
data, fog computing, and edge computing, smart city applications have suffered from issues …
data, fog computing, and edge computing, smart city applications have suffered from issues …
Applications of distributed machine learning for the Internet-of-Things: A comprehensive survey
The emergence of new services and applications in emerging wireless networks (eg,
beyond 5G and 6G) has shown a growing demand for the usage of artificial intelligence (AI) …
beyond 5G and 6G) has shown a growing demand for the usage of artificial intelligence (AI) …
Artificial intelligence-enabled Internet of Things-based system for COVID-19 screening using aerial thermal imaging
Abstract Internet of Things (IoT) has recently brought an influential research and analysis
platform in a broad diversity of academic and industrial disciplines, particularly in healthcare …
platform in a broad diversity of academic and industrial disciplines, particularly in healthcare …
Aerial edge computing: A survey
Q Zhang, Y Luo, H Jiang… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
In the beyond 5G/6G era, aerial edge computing (AEC) is expected to be used as significant
components in Internet of Things. AEC brings flexible deployment with Line-of-Sight …
components in Internet of Things. AEC brings flexible deployment with Line-of-Sight …
Towards federated learning and multi-access edge computing for air quality monitoring: literature review and assessment
Systems for monitoring air quality are essential for reducing the negative consequences of
air pollution, but creating real-time systems encounters several challenges. The accuracy …
air pollution, but creating real-time systems encounters several challenges. The accuracy …
A systematic literature review on blockchain enabled federated learning framework for internet of vehicles
While the convergence of Artificial Intelligence (AI) techniques with improved information
technology systems ensured enormous benefits to the Internet of Vehicles (IoVs) systems, it …
technology systems ensured enormous benefits to the Internet of Vehicles (IoVs) systems, it …
Federated learning-based misbehaviour detection for the 5G-enabled internet of vehicles
The concept of federated learning (FL) is becoming increasingly popular as a method for
training collaborative models without loss the sensitive information. The term has become …
training collaborative models without loss the sensitive information. The term has become …
A survey on soft computing techniques for federated learning-applications, challenges and future directions
Y Supriya, TR Gadekallu - ACM Journal of Data and Information Quality, 2023 - dl.acm.org
Federated Learning is a distributed, privacy-preserving machine learning model that is
gaining more attention these days. Federated Learning has a vast number of applications in …
gaining more attention these days. Federated Learning has a vast number of applications in …
Air quality index prediction using a new hybrid model considering multiple influencing factors: A case study in China
H Yang, Y Zhang, G Li - Atmospheric Pollution Research, 2023 - Elsevier
With the development of industrial economy, air pollution has become a problem that cannot
be ignored. While pursuing short prediction time, high prediction accuracy also needs to be …
be ignored. While pursuing short prediction time, high prediction accuracy also needs to be …
An incentive auction for heterogeneous client selection in federated learning
J Pang, J Yu, R Zhou, JCS Lui - IEEE Transactions on Mobile …, 2022 - ieeexplore.ieee.org
Federated Learning (FL) is a new distributed machine learning (ML) approach which
enables thousands of mobile devices to collaboratively train artificial intelligence (AI) models …
enables thousands of mobile devices to collaboratively train artificial intelligence (AI) models …