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We consider the problem of learning classifiers for labeled data that has been distributed across several nodes.
Random sampling with a reservoir
Vitter, Jeffrey Scott · 1985
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An introduction to computational learning theory
Kearns, Michael and Vazirani, Umesh · 1994
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Sample compression, learnability, and the vapnik-chervonenkis dimension
Floyd, Sally and Warmuth, Manfred · 1995
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On weak learning
Helmbold, David P. and Warmuth, Manfred K · 1995
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Communication Complexity
Kushilevitz, Eyal and Nisan, Noam · 1997
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An empirical comparison of voting classification algorithms: Bagging, boosting, and variants
Bauer, Eric and Kohavi, Ron · 1999
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The distributed boosting algorithm
Lazarevic, Aleksandar and Obradovic, Zoran · 2001
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Discriminative training methods for hidden markov models: theory and experiments with perceptron algorithms
Collins, Michael · 2002
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Distributed learning in wireless sensor networks
Predd, Joel B., Kulkarni, Sanjeev R., and Poor, H. Vincent · 2006
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Neural Network Learning: Theoretical Foundations
Anthony, Martin and Bartlett, Peter L · 2009
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Robust bounds for classification via selective sampling
Cesa-Bianchi, Nicolò, Gentile, Claudio, and Orabona, Francesco · 2009
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Efficient large-scale distributed training of conditional maximum entropy models
Mann, Gideon, McDonald, Ryan, Mohri, Mehryar, Silberman, Nathan, and Walker, Dan · 2009
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Active learning literature survey
Settles, Burr · 2009
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Robust selective sampling from single and multiple teachers
Dekel, Ofer, Gentile, Claudio, and Sridharan, Karthik · 2010
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Machine learning in adversarial environments
Laskov, Pavel and Lippmann, Richard · 2010
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Distributed training strategies for the structured perceptron
McDonald, Ryan, Hall, Keith, and Mann, Gideon · 2010
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Scaling up machine learning: Parallel and distributed approaches
Bekkerman, Ron, Bilenko, Mikhail, and Langford, John · 2011
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Geometric Approximation Algorithms
Har-peled, Sariel · 2011
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The end of the beginning of active learning
Hsu, Daniel and Langford, John · 2011
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http://metaoptimize.com/qa/questions/1885/suppose-your-training-and-test-set-are-generated-by-a-cunning-adversary, 2010
2010
Cited alongside, same era.
Optimal sampling algorithms for frequency estimation in distributed data
Huang, Zengfeng, Yi, Ke, Liu, Yunhao, and Chen, Guihai · 2011
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