Machine Learning From Distributed, Streaming Data [From the Guest Editors]
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Volkan Cevher | Dimitris S. Papailiopoulos | Anna Scaglione | Waheed Uz Zaman Bajwa | Dimitris Papailiopoulos | W. Bajwa | V. Cevher | A. Scaglione
[1] Alexander J. Smola,et al. Scaling Distributed Machine Learning with the Parameter Server , 2014, OSDI.
[2] John N. Tsitsiklis,et al. Distributed asynchronous deterministic and stochastic gradient optimization algorithms , 1986 .
[3] John Langford,et al. Scaling up machine learning: parallel and distributed approaches , 2011, KDD '11 Tutorials.
[4] Shai Shalev-Shwartz,et al. Online Learning and Online Convex Optimization , 2012, Found. Trends Mach. Learn..
[5] Hamed Haddadi,et al. Deep Learning in Mobile and Wireless Networking: A Survey , 2018, IEEE Communications Surveys & Tutorials.
[6] Stephen P. Boyd,et al. Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers , 2011, Found. Trends Mach. Learn..
[7] H. Robbins. A Stochastic Approximation Method , 1951 .
[8] Michael G. Rabbat,et al. Consensus-based distributed optimization: Practical issues and applications in large-scale machine learning , 2012, 2012 50th Annual Allerton Conference on Communication, Control, and Computing (Allerton).
[9] H. Kushner,et al. Stochastic Approximation and Recursive Algorithms and Applications , 2003 .
[10] Asuman E. Ozdaglar,et al. Distributed Subgradient Methods for Multi-Agent Optimization , 2009, IEEE Transactions on Automatic Control.
[11] Léon Bottou,et al. On-line learning and stochastic approximations , 1999 .
[12] Stephen J. Wright,et al. Hogwild: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent , 2011, NIPS.