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The Role of LLMs in Sustainable Smart Cities: Applications, Challenges, and Future Directions

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arxiv 2402.14596 v1 pith:I45A6CHV submitted 2024-02-07 cs.AI

classification cs.AI
keywords smartcitiespotentialapplicationschallengesllmstechnologiesurban
verification ladder T0 review T1 audit T2 compute T3 formal
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Smart cities stand as pivotal components in the ongoing pursuit of elevating urban living standards, facilitating the rapid expansion of urban areas while efficiently managing resources through sustainable and scalable innovations. In this regard, as emerging technologies like Artificial Intelligence (AI), the Internet of Things (IoT), big data analytics, and fog and edge computing have become increasingly prevalent, smart city applications grapple with various challenges, including the potential for unauthorized disclosure of confidential and sensitive data. The seamless integration of emerging technologies has played a vital role in sustaining the dynamic pace of their development. This paper explores the substantial potential and applications of Deep Learning (DL), Federated Learning (FL), IoT, Blockchain, Natural Language Processing (NLP), and large language models (LLMs) in optimizing ICT processes within smart cities. We aim to spotlight the vast potential of these technologies as foundational elements that technically strengthen the realization and advancement of smart cities, underscoring their significance in driving innovation within this transformative urban milieu. Our discourse culminates with an exploration of the formidable challenges that DL, FL, IoT, Blockchain, NLP, and LLMs face within these contexts, and we offer insights into potential future directions.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. From Transformers to Large Language Models: A systematic review of AI applications in the energy sector towards Agentic Digital Twins

    cs.LG 2025-06 conditional novelty 3.0 of 10

    A systematic review of 99 papers on transformers and LLMs in energy, ending with a proposal for LLM-powered Agentic Digital Twins for smart grids.

  2. Large Language Models in the IoT Ecosystem -- A Survey on Security Challenges and Applications

    cs.CR 2025-05 conditional novelty 1.0 of 10

    This survey catalogs existing work on combining large language models with IoT across several domains and lists latency, privacy, cost, and reliability as the main barriers.

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