Optimizing generative AI networking: a dual perspective with multi-agent systems and mixture of experts

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Optimizing generative AI networking: a dual perspective with multi-agent systems and mixture of experts
Copyright 2024 the authors. This paper is published under a Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium, provided the author and source are cited.
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title = "Optimizing generative AI networking: a dual perspective with multi-agent systems and mixture of experts",

author = "Ruichen Zhang and Hongyang Du and Dusit Niyato and Jiawen Kang and Zehui Xiong and Ping Zhang and Kim, \{Dong In\}",

year = "2024",

month = may,

day = "21",

language = "English",

publisher = "arXiv",

type = "WorkingPaper",

institution = "arXiv",

}

TY - UNPB

T1 - Optimizing generative AI networking: a dual perspective with multi-agent systems and mixture of experts

AU - Zhang, Ruichen

AU - Du, Hongyang

AU - Niyato, Dusit

AU - Kang, Jiawen

AU - Xiong, Zehui

AU - Zhang, Ping

AU - Kim, Dong In

PY - 2024/5/21

Y1 - 2024/5/21

M3 - Working paper

BT - Optimizing generative AI networking: a dual perspective with multi-agent systems and mixture of experts

PB - arXiv

ER -