A deep neural collaborative filtering based service recommendation method with multi-source data for smart cloud-edge collaboration applications

W Lin, M Zhu, X Zhou, R Zhang, X Zhao… - Tsinghua Science …, 2023 - ieeexplore.ieee.org
Service recommendation provides an effective solution to extract valuable information from
the huge and ever-increasing volume of big data generated by the large cardinality of user …

[HTML][HTML] Intelligent architecture and platforms for private edge cloud systems: A review

X Xu, S Zang, M Bilal, X Xu, W Dou - Future Generation Computer Systems, 2024 - Elsevier
The development of cloud, fog, and edge computing has led to great advances in reducing
latency and saving bandwidth, and these methods have therefore been broadly applied in …

Digital twin-assisted edge service caching for consumer electronics manufacturing

W Liu, X Xu, L Qi, X Zhou, H Yan… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
In recent years, the consumer electronics manufacturing (CEM) has increasingly recognized
the role of the Internet of Things (IoT) in improving production efficiency and reducing costs …

Customer centric service caching for intelligent cyber-physical transportation systems with cloud-edge computing leveraging digital twins

H Yan, X Xu, M Bilal, X Xia, W Dou… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
To provide various high-quality intelligent transportation services to customers, Intelligent
Cyber-Physical Transportation Systems (ICTS) with cloud-edge computing are widely …

Deep-Deterministic-Policy-Gradient-Based Task Offloading With Optimized K-Means in Edge-Computing-Enabled IoMT Cyber-Physical Systems

C Yang, X Xu, M Bilal, Y Wen, T Huang - IEEE Systems Journal, 2023 - ieeexplore.ieee.org
In recent years, the Internet of Medical Things (IoMT) is expanding its value as a key
enabling technology for smart medical cyber-physical systems. In order to overcome the …

Gender Classification Based on Spatio-Frequency Feature Fusion of OCT Fingerprint Images in the IoT Environment

L Kong, K Liu, X Hu, N Zhang, L Qi… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
In the rapidly evolving landscape of the Internet of Things (IoT), concerns about privacy and
security have become significant as interconnected devices communicate and collaborate …

Distributed computation offloading and power control for uav-enabled internet of medical things

J Gao, X Xu, L Qi, W Dou, X Xia, X Zhou - ACM Transactions on Internet …, 2024 - dl.acm.org
The advancement of the Internet of Medical Things (IoMT) has led to the emergence of
various health and emotion care services, eg, health monitoring. To cater to increasing …

From data to insights: the application and challenges of knowledge graphs in intelligent audit

H Zhong, D Yang, S Shi, L Wei, Y Wang - Journal of Cloud Computing, 2024 - Springer
In recent years, knowledge graph technology has been widely applied in various fields such
as intelligent auditing, urban transportation planning, legal research, and financial analysis …

Cloud-SMPC: two-round multilinear maps secure multiparty computation based on LWE assumption

Y Luo, Y Chen, T Li, C Tan, H Dou - Journal of Cloud Computing, 2024 - Springer
Cloud computing has data leakage from all parties, security protection of private data, and
existing solutions do not provide a trade-off between security and overhead. With distributed …

An edge‐assisted federated contrastive learning method with local intrinsic dimensionality in noisy label environment

S Wu, G Zhang, F Dai, B Liu… - Software: Practice and …, 2023 - Wiley Online Library
The advent of federated learning (FL) has presented a viable solution for distributed training
in edge environment, while simultaneously ensuring the preservation of privacy. In real …