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A Review on Edge Large Language Models: Design, Execution, and Applications

162
Citations
August 31, 2025
Published Date

Research Abstract & Technology Focus

Large language models (LLMs) have revolutionized natural language processing with their exceptional understanding, synthesizing, and reasoning capabilities. However, deploying LLMs on resource-constrained edge devices presents significant challenges due to computational limitations, memory constraints, and edge hardware heterogeneity. This survey provides a comprehensive overview of recent advancements in edge LLMs, covering the entire lifecycle—from resource-efficient model design and pre-deployment strategies to runtime inference optimizations. It also explores on-device applications across various domains. By synthesizing state-of-the-art techniques and identifying future research directions, this survey bridges the gap between the immense potential of LLMs and the constraints of edge computing.
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What is the core focus of the research titled 'A Review on Edge Large Language Models: Design, Execution, and Applications'?

This literature focuses on: Large language models (LLMs) have revolutionized natural language processing with their exceptional understanding, synthesizing, and reasoning capabilities. However, deploying LLMs on resource-constrained edge devices presents significant challeng...

Are there open-source GitHub repositories related to A Review on Edge Large Language Models: Design, Execution, and Applications?

Yes, open-source projects like FreedomIntelligence/OpenClaw-Medical-Skills (The largest open-source medical AI skills library for OpenClaw🦞.) are actively building upon these concepts.

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Products like Ollang DX are bringing this to market. Their focus is: The AI Language Execution Layer for Enterprise.

What other academic literature is closely related to 'A Review on Edge Large Language Models: Design, Execution, and Applications'?

Yes, highly correlated activity was mapped. An entry titled 'A Review on Edge Large Language Models: Design, Execution, and Applications' discusses this: Large language models (LLMs) have revolutionized natural language processing with their exceptional understanding, synthesizing, and reasoning capa...

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