Finite-Time Consensus Learning for Decentralized Optimization with Nonlinear Gossiping.

Junya Chen; Sijia Wang; Lawrence Carin; Chenyang Tao

Finite-Time Consensus Learning for Decentralized Optimization with Nonlinear Gossiping.

Junya Chen, Sijia Wang, Lawrence Carin, Chenyang Tao

Computer, Electrical and Mathematical Sciences and Engineering

Research output: Contribution to journal › Article › peer-review

Original language	English (US)
Journal	CoRR
Volume	abs/2111.02949
State	Published - 2021

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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.

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@article{669f158411f043b4b7220bcde1109d90,

title = "Finite-Time Consensus Learning for Decentralized Optimization with Nonlinear Gossiping.",

author = "Junya Chen and Sijia Wang and Lawrence Carin and Chenyang Tao",

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 = "2021",

language = "English (US)",

volume = "abs/2111.02949",

journal = "CoRR",

}

TY - JOUR

T1 - Finite-Time Consensus Learning for Decentralized Optimization with Nonlinear Gossiping.

AU - Chen, Junya

AU - Wang, Sijia

AU - Carin, Lawrence

AU - Tao, Chenyang

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 - 2021

Y1 - 2021

M3 - Article

VL - abs/2111.02949

JO - CoRR

JF - CoRR

ER -