378 citations · 452 across the 6 of their papers we have counts for
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cs.CR2023
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…
cs.CV2023
k-SALSA: k-anonymous synthetic averaging of retinal images via local style alignment
Minkyu Jeon, Hyeonjin Park, Hyunwoo J. Kim +2
The application of modern machine learning to retinal image analyses offers valuable insights into a broad range of human health conditions beyond ophthalmic diseases. Additionally…