Wildest Dreams: Reproducible Research in Privacy-preserving Neural Network Training

arXiv:2403.03592v1 Announce Type: new
Abstract: Machine Learning (ML), addresses a multitude of complex issues in multiple disciplines, including social sciences, finance, and medical research. ML models require substantial computing power and are only as powerful as the data utilized. Due to high computational cost of ML methods, data scientists frequently use Machine Learning-as-a-Service (MLaaS) to outsource computation to external servers. However, when working with private information, like financial data or health records, outsourcing the computation might result in privacy issues. …

addresses arxiv computational computing cost cs.ai cs.cr data data scientists finance high machine machine learning medical medical research ml models network neural network power privacy research sciences social social sciences training