ScholarWorks@숙명여자대학교

초록

Large Language Models (LLMs) are at the forefront of innovation across diverse domains, including network optimization, edge and distributed computing, and autonomous systems. This paper examines the critical role of LLMs in enhancing network management and optimization, enabling efficient edge and distributed computing, and advancing autonomous systems and control. It also evaluates their impact on performance improvement across these areas. Despite their significant potential, LLMs face several challenges, such as security vulnerabilities, limited energy efficiency, and inadequate integration of multimodal data. To overcome these limitations, this paper proposes a range of future research directions. With continued research and development, LLMs are poised to become foundational technologies across industries, enabling their full potential to be realized.

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