research
∙
08/27/2021
FAST-PCA: A Fast and Exact Algorithm for Distributed Principal Component Analysis
Principal Component Analysis (PCA) is a fundamental data preprocessing t...
share
research
∙
03/11/2021
Distributed Principal Subspace Analysis for Partitioned Big Data: Algorithms, Analysis, and Implementation
Principal Subspace Analysis (PSA) is one of the most popular approaches ...
research
∙
01/05/2021
A Linearly Convergent Algorithm for Distributed Principal Component Analysis
Principal Component Analysis (PCA) is the workhorse tool for dimensional...
research
∙
08/23/2019
Adversary-resilient Inference and Machine Learning: From Distributed to Decentralized
While the last few decades have witnessed a huge body of work devoted to...
research
∙
06/21/2018