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Generative IoT:advancing IoT with generative AI and large language models

Farshad Firouzi Aritra Ray Bahar Farahani Mahmoud Daneshmand Jaeseung Song Shaoen Wu Krishnendu Chakrabarty

数字通信与网络（英文）2026，Vol.12Issue(6)：869-893,25.

数字通信与网络（英文）2026，Vol.12Issue(6)：869-893,25.DOI:10.1016/j.dcan.2026.03.010

Generative IoT:advancing IoT with generative AI and large language models

Farshad Firouzi ¹Aritra Ray ²Bahar Farahani ³Mahmoud Daneshmand ⁴Jaeseung Song ⁵Shaoen Wu ⁶Krishnendu Chakrabarty¹

作者信息

1. Arizona State University,USA
2. Duke University,Durham,USA
3. Cyberspace Research Institute,Shahid Beheshti University,Iran
4. Stevens Institute of Technology,Hoboken,USA
5. Sejong University,South Korea
6. Kennesaw State University,USA
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摘要

关键词

Generative AI/Agentic AI/Large language models/Internet of things/Cyber-physical systems/Generative IoT/Agentic IoT/Multi-modal language models/Vision-language models/Large action models/Edge computing/Cloud computing/AI accelerators

Key words

引用本文复制引用

Farshad Firouzi,Aritra Ray,Bahar Farahani,Mahmoud Daneshmand,Jaeseung Song,Shaoen Wu,Krishnendu Chakrabarty..Generative IoT:advancing IoT with generative AI and large language models[J].数字通信与网络（英文）,2026,12(6):869-893,25.

基金项目

Prof.Jaeseung Song was supported by the Institute of Information&Communications Technology Planning&Evaluation(IITP)-Information Technology Research Center(ITRC)grant funded by the Republic of Korea(South Korea)government(IITP-2025-RS-2021-II211816)and by the Technology Innovation Program(RS-2022-00154678)funded by the Ministry of Trade,Industry&Energy(MOTIE,South Korea). （IITP）

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