A survey on intelligent Internet of Things: Applications, security, privacy, and future directions

O Aouedi, TH Vu, A Sacco, DC Nguyen… - … surveys & tutorials, 2024 - ieeexplore.ieee.org
The rapid advances in the Internet of Things (IoT) have promoted a revolution in
communication technology and offered various customer services. Artificial intelligence (AI) …

Blockchained federated learning for internet of things: A comprehensive survey

Y Jiang, B Ma, X Wang, G Yu, P Yu, Z Wang… - ACM Computing …, 2024 - dl.acm.org
The demand for intelligent industries and smart services based on big data is rising rapidly
with the increasing digitization and intelligence of the modern world. This survey …

Decentralized federated learning: A survey and perspective

L Yuan, Z Wang, L Sun, SY Philip… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
Federated learning (FL) has been gaining attention for its ability to share knowledge while
maintaining user data, protecting privacy, increasing learning efficiency, and reducing …

A survey on decentralized federated learning

E Gabrielli, G Pica, G Tolomei - arXiv preprint arXiv:2308.04604, 2023 - arxiv.org
In recent years, federated learning (FL) has become a very popular paradigm for training
distributed, large-scale, and privacy-preserving machine learning (ML) systems. In contrast …

Incentive mechanism design for joint resource allocation in blockchain-based federated learning

Z Wang, Q Hu, R Li, M Xu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Blockchain-based federated learning (BCFL) has recently gained tremendous attention
because of its advantages, such as decentralization and privacy protection of raw data …

A novel short-term traffic prediction model based on SVD and ARIMA with blockchain in industrial internet of Things

Y Miao, X Bai, Y Cao, Y Liu, F Dai… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
With the construction and development of smart cities, accurate and real-time traffic
prediction plays a vital role in urban traffic. However, traffic data has the characteristics of …

BC4LLM: A perspective of trusted artificial intelligence when blockchain meets large language models

H Luo, J Luo, AV Vasilakos - Neurocomputing, 2024 - Elsevier
In recent years, artificial intelligence (AI) and machine learning (ML) are reshaping society's
production methods and productivity, and also changing the paradigm of scientific research …

Challenges and remedies to privacy and security in aigc: Exploring the potential of privacy computing, blockchain, and beyond

C Chen, Z Wu, Y Lai, W Ou, T Liao, Z Zheng - arXiv preprint arXiv …, 2023 - arxiv.org
Artificial Intelligence Generated Content (AIGC) is one of the latest achievements in AI
development. The content generated by related applications, such as text, images and …

Efficient data transmission on wireless communication through a privacy-enhanced blockchain process

R Aluvalu, SK VN, M Thirumalaisamy, S Basheer… - PeerJ Computer …, 2023 - peerj.com
In the medical era, wearables often manage and find the specific data points to check
important data like resting heart rate, ECG voltage, SPO2, sleep patterns like length …

Federated reinforcement learning in IoT: applications, opportunities and open challenges

EC Pinto Neto, S Sadeghi, X Zhang, S Dadkhah - Applied Sciences, 2023 - mdpi.com
The internet of things (IoT) represents a disruptive concept that has been changing society in
several ways. There have been several successful applications of IoT in the industry. For …