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Volumn , Issue , 2016, Pages

Pushing analytics to the edge

Author keywords

[No Author keywords available]

Indexed keywords

DATA HANDLING; DECISION MAKING; DIGITAL STORAGE; FOG COMPUTING; INTERNET OF THINGS; LEARNING SYSTEMS; MAPREDUCE; OPTIMIZATION; STOCHASTIC SYSTEMS;

EID: 85015434837     PISSN: 23340983     EISSN: 25766813     Source Type: Conference Proceeding    
DOI: 10.1109/GLOCOM.2016.7842181     Document Type: Conference Paper
Times cited : (40)

References (18)
  • 1
    • 84904136037 scopus 로고    scopus 로고
    • Large-scale machine learning with stochastic gradient descent
    • Y. Lechevallier and G. Saporta, editors. Physica-Verlag HD
    • L. Bottou. Large-Scale Machine Learning with Stochastic Gradient Descent. In Y. Lechevallier and G. Saporta, editors, Proceedings of COMPSTAT'2010, pages 177-186. Physica-Verlag HD, 2010.
    • (2010) Proceedings of COMPSTAT'2010 , pp. 177-186
    • Bottou, L.1
  • 10
    • 80052652249 scopus 로고    scopus 로고
    • Efficient large-scale distributed training of conditional maximum entropy models
    • Y. Bengio, D. Schuurmans, J. D. Lafferty, C. K. I. Williams, and A. Culotta, editors. Curran Associates, Inc.
    • R. Mcdonald, M. Mohri, N. Silberman, D. Walker, and G. S. Mann. Efficient Large-Scale Distributed Training of Conditional Maximum Entropy Models. In Y. Bengio, D. Schuurmans, J. D. Lafferty, C. K. I. Williams, and A. Culotta, editors, Advances in Neural Information Processing Systems 22, pages 1231-1239. Curran Associates, Inc., 2009.
    • (2009) Advances in Neural Information Processing Systems , vol.22 , pp. 1231-1239
    • Mcdonald, R.1    Mohri, M.2    Silberman, N.3    Walker, D.4    Mann, G.S.5
  • 11
    • 85162467517 scopus 로고    scopus 로고
    • Hogwild: A lock-free approach to parallelizing stochastic gradient descent
    • F. Niu, B. Recht, C. Rac, and S. J. Wright. Hogwild: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent. In In NIPS, 2011.
    • (2011) NIPS
    • Niu, F.1    Recht, B.2    Rac, C.3    Wright, S.J.4
  • 13
    • 84897901619 scopus 로고    scopus 로고
    • On the linear convergence of the ADMM in decentralized consensus optimization
    • Apr.
    • W. Shi, Q. Ling, K. Yuan, G. Wu, and W. Yin. On the Linear Convergence of the ADMM in Decentralized Consensus Optimization. Signal Processing, IEEE Transactions on, 62 (7): 1750-1761, Apr. 2014.
    • (2014) Signal Processing, IEEE Transactions on , vol.62 , Issue.7 , pp. 1750-1761
    • Shi, W.1    Ling, Q.2    Yuan, K.3    Wu, G.4    Yin, W.5
  • 17
    • 72049100963 scopus 로고    scopus 로고
    • Joint inversion for Vp, Vs, and Vp/Vs at SAFOD, Parkfield, California
    • Nov.
    • H. Zhang, C. Thurber, and P. Bedrosian. Joint inversion for Vp, Vs, and Vp/Vs at SAFOD, Parkfield, California. Geochem. Geophys. Geosyst., 10 (11): Q11002+, Nov. 2009.
    • (2009) Geochem. Geophys. Geosyst , vol.10 , Issue.11 , pp. Q11002
    • Zhang, H.1    Thurber, C.2    Bedrosian, P.3
  • 18
    • 85161967549 scopus 로고    scopus 로고
    • Parallelized stochastic gradient descent
    • J. D. Lafferty, C. K. I. Williams, J. Shawe-Taylor, R. S. Zemel, and A. Culotta, editors. Curran Associates, Inc.
    • M. Zinkevich, M. Weimer, L. Li, and A. J. Smola. Parallelized Stochastic Gradient Descent. In J. D. Lafferty, C. K. I. Williams, J. Shawe-Taylor, R. S. Zemel, and A. Culotta, editors, Advances in Neural Information Processing Systems 23, pages 2595-2603. Curran Associates, Inc., 2010.
    • (2010) Advances in Neural Information Processing Systems , vol.23 , pp. 2595-2603
    • Zinkevich, M.1    Weimer, M.2    Li, L.3    Smola, A.J.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.