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Snake Learning: A Communication- and Computation-Efficient Distributed Learning Framework for 6G

Snake Learning: A Communication- and Computation-Efficient Distributed Learning Framework for 6G

Xiaoxue Yu
Xingfu Yi
Rongpeng Li
Fei Wang
Chenghui Peng
Zhifeng Zhao
Honggang Zhang
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Papers citing "Snake Learning: A Communication- and Computation-Efficient Distributed Learning Framework for 6G"

2 / 2 papers shown
Title
FlexLLM: A System for Co-Serving Large Language Model Inference and Parameter-Efficient Finetuning
FlexLLM: A System for Co-Serving Large Language Model Inference and Parameter-Efficient Finetuning
Xupeng Miao
Gabriele Oliaro
Xinhao Cheng
Vineeth Kada
Ruohan Gao
...
April Yang
Yingcheng Wang
Mengdi Wu
Colin Unger
Zhihao Jia
MoE
77
8
0
29 Feb 2024
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
217
3,054
0
23 Jan 2020