Scalable Privacy-Preserving Distributed Learning
Scalable Privacy-Preserving Distributed Learning
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Ithaca: Cornell University Library, arXiv.org
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English
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Ithaca: Cornell University Library, arXiv.org
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In this paper, we address the problem of privacy-preserving distributed learning and the evaluation of machine-learning models by analyzing it in the widespread MapReduce abstraction that we extend with privacy constraints. We design SPINDLE (Scalable Privacy-preservINg Distributed LEarning), the first distributed and privacy-preserving system that...
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Scalable Privacy-Preserving Distributed Learning
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TN_cdi_proquest_journals_2405041347
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2405041347
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2331-8422
