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Volumn , Issue , 2013, Pages 551-554

On the O(1=k) convergence of asynchronous distributed alternating Direction Method of Multipliers

Author keywords

[No Author keywords available]

Indexed keywords

ALTERNATING DIRECTION METHOD OF MULTIPLIERS; DECISION VARIABLES; DISTRIBUTED METHODS; DISTRIBUTED SOLUTIONS; GLOBAL OPTIMIZATION PROBLEMS; LINEAR CONSTRAINTS; OBJECTIVE FUNCTIONS; RATE OF CONVERGENCE;

EID: 84897711074     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/GlobalSIP.2013.6736937     Document Type: Conference Paper
Times cited : (248)

References (14)
  • 1
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    • Bertsekas, D.P.1    Tsitsiklis, J.N.2
  • 2
    • 80051762104 scopus 로고    scopus 로고
    • Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers
    • S. Boyd, N. Parikh, E. Chu, B. Peleato, and J. Eckstein. Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers. Foundations and Trends in Machine Learning, 3(1):1-122, 2010.
    • (2010) Foundations and Trends in Machine Learning , vol.3 , Issue.1 , pp. 1-122
    • Boyd, S.1    Parikh, N.2    Chu, E.3    Peleato, B.4    Eckstein, J.5
  • 4
    • 84861398963 scopus 로고    scopus 로고
    • On the O(1/n) convergence rate of the douglas-rachford alternating direction method
    • B. He and X. Yuan. On the O(1/n) Convergence Rate of the Douglas-Rachford Alternating Direction Method. SIAM Journal on Numerical Analysis, 50(2):700-709, 2012.
    • (2012) SIAM Journal on Numerical Analysis , vol.50 , Issue.2 , pp. 700-709
    • He, B.1    Yuan, X.2
  • 8
    • 84948952391 scopus 로고    scopus 로고
    • D-ADMM: A communication-efficient distributed algorithm for separable optimization
    • J. Mota, J. Xavier, P. Aguiar, and M. Püschel. D-ADMM: A Communication-Efficient Distributed Algorithm For Separable Optimization. IEEE Transactions on Signal Processing, 61(10):2718-2723, 2013.
    • (2013) IEEE Transactions on Signal Processing , vol.61 , Issue.10 , pp. 2718-2723
    • Mota, J.1    Xavier, J.2    Aguiar, P.3    Püschel, M.4
  • 9
    • 59649103668 scopus 로고    scopus 로고
    • Distributed subgradient methods for multi-agent optimization
    • A. Nedich and A. Ozdaglar. Distributed Subgradient Methods for Multi-agent Optimization. IEEE Transactions on Automatic Control, 54(1):48-61, 2009.
    • (2009) IEEE Transactions on Automatic Control , vol.54 , Issue.1 , pp. 48-61
    • Nedich, A.1    Ozdaglar, A.2
  • 11
    • 37749015518 scopus 로고    scopus 로고
    • Consensus in ad hoc wsns with noisy links-part i: Distributed estimation of deterministic signals
    • I. D. Schizas, R. Ribeiro, and G. B. Giannakis. Consensus in Ad Hoc WSNs with Noisy Links-Part I: Distributed Estimation of Deterministic Signals. IEEE Transactions on Singal Processing, 56:350-364, 2008.
    • (2008) IEEE Transactions on Singal Processing , vol.56 , pp. 350-364
    • Schizas, I.D.1    Ribeiro, R.2    Giannakis, G.B.3
  • 12
    • 0011264117 scopus 로고
    • PhD thesis, Dept. of Electrical Engineering and Computer Science, Massachusetts Institute of Technology
    • J. N. Tsitsiklis. Problems in Decentralized Decision Making and Computation. PhD thesis, Dept. of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, 1984.
    • (1984) Problems in Decentralized Decision Making and Computation
    • Tsitsiklis, J.N.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.