Preserving Differential Privacy Between Features in Distributed Estimation

Christina Heinze-Deml, Brian McWilliams, Nicolai Meinshausen

Privacy is crucial in many applications of machine learning. Legal, ethical and societal issues restrict the sharing of sensitive data making it difficult to learn from datasets th…