Development of an Approach to Confidential Learning with Errors in the Design of Neural Networks

Development of an Approach to Confidential Learning with Errors in the Design of Neural Networks

In this paper, the presented method, applied to transpose densified weight matrices, involves tenth machine learning when moving from feedforward to backpropagation. The algorithm is based on the diagonal matrix construction method. The process of manufacturing change will significantly increase the...

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Главные авторы:	Bezuglova, E. S., Безуглова, Е. С., Shiriaev, E. M., Ширяев, Е. М.
Формат:	Статья
Язык:	English
Опубликовано:	Springer Science and Business Media Deutschland GmbH 2024
Темы:	Cryptography Matrix transposition Machine learning Neural networks
Online-ссылка:	https://dspace.ncfu.ru/handle/123456789/29360
Метки:	Добавить метку Нет меток, Требуется 1-ая метка записи!

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