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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