A Distributed Trust Framework for Privacy-Preserving Machine Learning

When training a machine learning model, it is standard procedure for the
researcher to have full knowledge of both the data and model. However, this
engenders a lack of trust between data owners and data scientists. Data owners
are justifiably reluctant t… Read more

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