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March 3, 2026
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Edge large language models: a comprehensive survey
SJ
Shan Jiang
Sun Yat-sen University
XZ
Xuecheng Zhou
Sun Yat-sen University
LV
Long Vu
IBM (United States)
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Puntos clave
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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Edge large language models: a comprehensive survey | Synapse
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Jiang et al. (Thu,) studied this question.
synapsesocial.com/papers/69a75de9c6e9836116a2838a
https://doi.org/https://doi.org/10.1007/s42486-025-00227-7