Privacy Preserving Back Propagation Algorithm Год выпуска: 2012Автор: Suhel Sayyad and Prakash KulkarniИздательство: LAP Lambert Academic PublishingСтраниц: 56ISBN: 9783659219863Описание The learning problems have to be concerned about distributed input data, because of gradual expansion of distributed computing environment. It is important to address the privacy concern of each data holder by extending the privacy preservation concept to original learning algorithms, to enhance co-operations in learning. In this work, focus is on protecting the privacy in a significant learning model, multilayer neural networks.
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Влада Марина, спасибо, отчеты по практике сдали на отлично
