Privacy in Collaborative Deep Learning Systems: A Taxonomy and Archetypes

This academic survey paper categorizes and describes different privacy concerns and system designs in collaborative deep learning (machine learning where multiple parties train models together while keeping their data private). The paper creates a taxonomy, which is a systematic classification scheme, to help organize the various approaches and challenges in this field.