FLEET: Flexible Efficient Ensemble Training for Heterogeneous Deep Neural Networks.

Hui Guan; Laxmikant Kishor Mokadam; Xipeng Shen; Seung-Hwan Lim; Robert M. Patton

FLEET: Flexible Efficient Ensemble Training for Heterogeneous Deep Neural Networks.

Hui Guan
, Laxmikant Kishor Mokadam
, Xipeng Shen
, Seung-Hwan Lim
, Robert M. Patton

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Original language	American English
Title of host publication	MLSys
State	Published - 2020

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@inproceedings{54d4187fb4bb45a4be62c19c75c503d2,

title = "FLEET: Flexible Efficient Ensemble Training for Heterogeneous Deep Neural Networks.",

author = "Hui Guan and Mokadam, \{Laxmikant Kishor\} and Xipeng Shen and Seung-Hwan Lim and Patton, \{Robert M.\}",

note = "DBLP License: DBLP's bibliographic metadata records provided through http://dblp.org/ are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions.",

year = "2020",

language = "American English",

booktitle = "MLSys",

}

TY - GEN

T1 - FLEET: Flexible Efficient Ensemble Training for Heterogeneous Deep Neural Networks.

AU - Guan, Hui

AU - Mokadam, Laxmikant Kishor

AU - Shen, Xipeng

AU - Lim, Seung-Hwan

AU - Patton, Robert M.

N1 - DBLP License: DBLP's bibliographic metadata records provided through http://dblp.org/ are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions.

PY - 2020

Y1 - 2020

M3 - Conference contribution

BT - MLSys

ER -