Scalable and Privacy-Preserving Federated Principal Component Analysis

David Froelicher, Hyunghoon Cho, Manaswitha Edupalli +6

Principal component analysis (PCA) is an essential algorithm for dimensionality reduction in many data science domains. We address the problem of performing a federated PCA on priv…