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About this paper
Jiaqi Wu, Jing Liu, Yang Liu, Lixu Wang, Zehua Wang, Wei Chen, Zijian Tian, Richard Yu and 1 more
This survey provides the first comprehensive and systematic review of Cloud-Edge-Terminal Collaborative Intelligence (CETCI) in AIoT networks, unifying architectural paradigms, enabling technologies, and intelligent management strategies. It outlines advancements in collaborative learning and security, while also identifying key challenges and future research directions.
Key insights
- Cloud-Edge-Terminal Collaborative Intelligence (CETCI) is a necessary paradigm to overcome the limitations of isolated computing layers, enabling enhanced latency, bandwidth, privacy, and scalability for AIoT.
- Intelligent resource management, including learning-based task offloading and resource allocation, is crucial for optimizing system performance, energy consumption, and Quality of Service in heterogeneous AIoT environments.
- Collaborative learning paradigms like federated learning, distributed deep learning, and edge-cloud model evolution, combined with robust security and privacy mechanisms, are fundamental for developing secure and efficient distributed AI in AIoT networks.
Summary by alphaXiv.
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