Online and Distributed Robust Regressions under Adversarial Data Corruption

ICDM, pp. 625-634, 2017.

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Abstract:

In todayu0027s era of big data, robust least-squares regression becomes a more challenging problem when considering the adversarial corruption along with explosive growth of datasets. Traditional robust methods can handle the noise but suffer from several challenges when applied in huge dataset including 1) computational infeasibility of ...More

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