Energy cost and machine learning accuracy impact of k-anonymisation and synthetic data techniques. (arXiv:2305.07116v1 [cs.LG])

To address increasing societal concerns regarding privacy and climate, the EU
adopted the General Data Protection Regulation (GDPR) and committed to the
Green Deal. Considerable research studied the energy efficiency of software and
the accuracy of machine learning models trained on anonymised data sets. Recent
work began exploring the impact of privacy-enhancing techniques (PET) on both
the energy consumption and accuracy of the machine learning models, focusing on
k-anonymity. As synthetic data is becoming an increasingly popular PET, this
paper …

accuracy arxiv climate cost data data protection data sets deal efficiency energy energy efficiency gdpr general general data protection regulation impact machine machine learning machine learning models privacy protection regulation research software synthetic synthetic data