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 …
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
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 …
latency and saving bandwidth, and these methods have therefore been broadly applied in …
Digital twin-assisted edge service caching for consumer electronics manufacturing
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 …
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
To provide various high-quality intelligent transportation services to customers, Intelligent
Cyber-Physical Transportation Systems (ICTS) with cloud-edge computing are widely …
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
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 …
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 …
security have become significant as interconnected devices communicate and collaborate …
Distributed computation offloading and power control for uav-enabled internet of medical things
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 …
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 …
as intelligent auditing, urban transportation planning, legal research, and financial analysis …
Cloud-SMPC: two-round multilinear maps secure multiparty computation based on LWE assumption
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 …
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
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 …
in edge environment, while simultaneously ensuring the preservation of privacy. In real …