mlsanityData to 7 Oct 2026

The Internet of Things in the Era of Generative AI: Vision and Challenges

arXiv 2401.01923 ↗First posted 3 Jan 2024cs.DC cs.LG cs.NIcited by 8

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Abstract (arXiv)

Advancements in Generative AI hold immense promise to push Internet of Things (IoT) to the next level. In this article, we share our vision on IoT in the era of Generative AI. We discuss some of the most important applications of Generative AI in IoT-related domains. We also identify some of the most critical challenges and discuss current gaps as well as promising opportunities on enabling Generative AI for IoT. We hope this article can inspire new research on IoT in the era of Generative AI.

Key facts. Cited by 8 papers in the map (data through 7 Oct 2026). Builds on 11 of its 19 references that are in the map. First posted on arXiv 3 Jan 2024.

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11 of 19 references.

References · 11

  1. 2023A Survey of Large Language Modelscited by 2,537
  2. 2023A Survey on Multimodal Large Language Modelscited by 898
  3. 2023A Survey on Multimodal Large Language Models for Autonomous Drivingcited by 288
  4. 2023A Survey on Model Compression for Large Language Modelscited by 263
  5. 2019Edge Intelligence: Paving the Last Mile of Artificial Intelligence with Edge Computingcited by 225
  6. 2023A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPTcited by 221
  7. 2023Efficient Large Language Models: A Surveycited by 183
  8. 2023A Study of Generative Large Language Model for Medical Research and Healthcarecited by 160
  9. 2023EdgeMoE: Empowering Sparse Large Language Models on Mobile Devicescited by 65
  10. 2023Revolutionizing Cyber Threat Detection with Large Language Models: A privacy-preserving BERT-based Lightweight Model for IoT/IIoT Devicescited by 38
  11. 2023FedAIoT: A Federated Learning Benchmark for Artificial Intelligence of Thingscited by 8

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Citing papers per year: 2024: 5; 2025: 3.

8 papers.