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January 29, 2026CCF Transactions on Pervasive Computing and Interaction

Edge large language models: a comprehensive survey

Shan Jiang Xuecheng Zhou Long Vu Changfu Xu Guocheng Liao Keqin Li Xiaoxing Ma

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Key Points

Edge computing significantly improves the deployment of large language models, enhancing performance and efficiency.
Natural language processing applications benefit from advanced optimization techniques, improving real-time responsiveness.
This survey analyzes data privacy implications in edge deployments of large language models, emphasizing security measures.
The findings highlight the need for further advancements in algorithm efficiency to fully leverage edge computing benefits.

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Implication

Survey reviews the capabilities and challenges of large language models deployed at the edge, suggesting practical applications.

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Cite This Study

Jiang et al. (2026) studied this question.

synapsesocial.com/papers/69a75de9c6e9836116a2838a https://doi.org/10.1007/s42486-025-00227-7

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