Communication Efficient Distributed Agnostic BoostingDownload PDFOpen Website

2016 (modified: 13 Jun 2021)AISTATS 2016Readers: Everyone
Abstract: We consider the problem of learning from distributed data in the agnostic setting, i.e., in the presence of arbitrary forms of noise. Our main contribution is a general distributed boosting-based p...
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