Privacy‐enhancing machine learning framework with private aggregation of teacher ensembles
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DOI: 10.1002/int.23020
Abstract: Private aggregation of teacher ensembles (PATE), a general machine learning framework based on knowledge distillation, can provide a privacy guarantee for training data sets. However, this framework poses a number of security risks. First, PATE… read more here.
Keywords: aggregation; aggregation teacher; framework; privacy ... See more keywords