Federated learning for smart healthcare: A survey

DC Nguyen, QV Pham, PN Pathirana, M Ding… - ACM Computing …, 2022 - dl.acm.org
Recent advances in communication technologies and the Internet-of-Medical-Things (IOMT)
have transformed smart healthcare enabled by artificial intelligence (AI). Traditionally, AI …

Industry 5.0: A survey on enabling technologies and potential applications

PKR Maddikunta, QV Pham, B Prabadevi… - Journal of Industrial …, 2022 - Elsevier
Industry 5.0 is regarded as the next industrial evolution, its objective is to leverage the
creativity of human experts in collaboration with efficient, intelligent and accurate machines …

Artificial intelligence for the metaverse: A survey

T Huynh-The, QV Pham, XQ Pham, TT Nguyen… - … Applications of Artificial …, 2023 - Elsevier
Along with the massive growth of the Internet from the 1990s until now, various innovative
technologies have been created to bring users breathtaking experiences with more virtual …

Federated learning for smart cities: A comprehensive survey

S Pandya, G Srivastava, R Jhaveri, MR Babu… - Sustainable Energy …, 2023 - Elsevier
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 …

Survey on 6G frontiers: Trends, applications, requirements, technologies and future research

C De Alwis, A Kalla, QV Pham, P Kumar… - IEEE Open Journal …, 2021 - ieeexplore.ieee.org
Emerging applications such as Internet of Everything, Holographic Telepresence,
collaborative robots, and space and deep-sea tourism are already highlighting the …

Decentralized federated learning: Fundamentals, state of the art, frameworks, trends, and challenges

ETM Beltrán, MQ Pérez, PMS Sánchez… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
In recent years, Federated Learning (FL) has gained relevance in training collaborative
models without sharing sensitive data. Since its birth, Centralized FL (CFL) has been the …

A comprehensive survey on blockchain in industrial internet of things: Motivations, research progresses, and future challenges

R Huo, S Zeng, Z Wang, J Shang… - … Surveys & Tutorials, 2022 - ieeexplore.ieee.org
With rapid development of enabling technologies such as Internet of Things, robotics, and
big data, the fourth industrial revolution known as “Industry 4.0”(I4. 0) has become a great …

[HTML][HTML] Internet of things for smart factories in industry 4.0, a review

M Soori, B Arezoo, R Dastres - Internet of Things and Cyber-Physical …, 2023 - Elsevier
Abstract The Internet of Things (IoT) is playing a significant role in the transformation of
traditional factories into smart factories in Industry 4.0 by using network of interconnected …

Federated learning in edge computing: a systematic survey

HG Abreha, M Hayajneh, MA Serhani - Sensors, 2022 - mdpi.com
Edge Computing (EC) is a new architecture that extends Cloud Computing (CC) services
closer to data sources. EC combined with Deep Learning (DL) is a promising technology …

Federated learning for cybersecurity: Concepts, challenges, and future directions

M Alazab, SP RM, M Parimala… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Federated learning (FL) is a recent development in artificial intelligence, which is typically
based on the concept of decentralized data. As cyberattacks are frequently happening in the …