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Volumn 5, Issue , 2014, Pages 3689-3697

Asynchronous distributed ADMM for consensus optimization

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; BIG DATA; LEARNING SYSTEMS; OPTIMIZATION;

EID: 84919796967     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (117)

References (25)
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    • On the 0(1/n) convergence rate of the Douglas-Rachford alternating direction method
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    • Kim, S.1    Sohn, K.-A.2    Xing, E.P.3
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    • 84948952391 scopus 로고    scopus 로고
    • D-admm: A communication-efficient distributed algorithm for separable optimization
    • Mota, J, Xavier, J, Aguiar, P, and Puschel, Markus. D-admm: A communication-efficient distributed algorithm for separable optimization. IEEE Transactions on Signal Processing, 61(10):2718-2723, 2013.
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    • Mota, J.1    Xavier, J.2    Aguiar, P.3    Markus, P.4
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    • Dual averaging and proximal gradient descent for online alternating direction multiplier method
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.