Confluence of blockchain and artificial intelligence technologies for secure and scalable healthcare solutions: A review

S Sai, V Chamola, KKR Choo, B Sikdar… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
Blockchain (BC) and artificial intelligence (AI) technologies have independent applications
in multiple industries, including banking, finance, healthcare, construction, transportation …

[HTML][HTML] Wind turbine blade icing detection: A federated learning approach

X Cheng, F Shi, Y Liu, X Liu, L Huang - Energy, 2022 - Elsevier
Wind farms are often located at high latitudes, which entails a high risk of icing for wind
turbine blades. Traditional anti-icing methods rely primarily on manual observation, the use …

Blockchain-empowered secure federated learning system: Architecture and applications

F Yu, H Lin, X Wang, A Yassine, MS Hossain - Computer Communications, 2022 - Elsevier
Federated learning (FL) is a promising paradigm to realize distributed machine learning on
heterogeneous clients without exposing their private data. However, there is the risk of …

[HTML][HTML] Privacy-preserving federated learning for scalable and high data quality computational-intelligence-as-a-service in Society 5.0

A Peyvandi, B Majidi, S Peyvandi, JC Patra - Multimedia tools and …, 2022 - Springer
Training supervised machine learning models like deep learning requires high-quality
labelled datasets that contain enough samples from various categories and specific cases …

[HTML][HTML] Effectiveness of decentralized federated learning algorithms in healthcare: a case study on cancer classification

M Subramanian, V Rajasekar, S VE… - Electronics, 2022 - mdpi.com
Deep learning-based medical image analysis is an effective and precise method for
identifying various cancer types. However, due to concerns over patient privacy, sharing …