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WDMoE: Wireless Distributed Large Language Models with Mixture of
  Experts

WDMoE: Wireless Distributed Large Language Models with Mixture of Experts

6 May 2024
Nan Xue
Yaping Sun
Zhiyong Chen
Meixia Tao
Xiaodong Xu
Liang Qian
Shuguang Cui
Ping Zhang
    MoE
ArXivPDFHTML

Papers citing "WDMoE: Wireless Distributed Large Language Models with Mixture of Experts"

5 / 5 papers shown
Title
Empowering Large Language Models in Wireless Communication: A Novel Dataset and Fine-Tuning Framework
Empowering Large Language Models in Wireless Communication: A Novel Dataset and Fine-Tuning Framework
Yushen Lin
Ruichen Zhang
Wenqi Huang
Kaidi Wang
Z. Ding
Daniel K. C. So
Dusit Niyato
59
0
0
17 Jan 2025
Leveraging Large Language Models for Integrated
  Satellite-Aerial-Terrestrial Networks: Recent Advances and Future Directions
Leveraging Large Language Models for Integrated Satellite-Aerial-Terrestrial Networks: Recent Advances and Future Directions
Shumaila Javaid
R. A. Khalil
Nasir Saeed
Bin He
Mohamed-Slim Alouini
39
9
0
05 Jul 2024
Transformer-Lite: High-efficiency Deployment of Large Language Models on
  Mobile Phone GPUs
Transformer-Lite: High-efficiency Deployment of Large Language Models on Mobile Phone GPUs
Luchang Li
Sheng Qian
Jie Lu
Lunxi Yuan
Rui Wang
Qin Xie
42
9
0
29 Mar 2024
Mixture-of-Experts with Expert Choice Routing
Mixture-of-Experts with Expert Choice Routing
Yan-Quan Zhou
Tao Lei
Han-Chu Liu
Nan Du
Yanping Huang
Vincent Zhao
Andrew M. Dai
Zhifeng Chen
Quoc V. Le
James Laudon
MoE
160
327
0
18 Feb 2022
Scaling Laws for Neural Language Models
Scaling Laws for Neural Language Models
Jared Kaplan
Sam McCandlish
T. Henighan
Tom B. Brown
B. Chess
R. Child
Scott Gray
Alec Radford
Jeff Wu
Dario Amodei
246
4,489
0
23 Jan 2020
1