Distributed Principal Subspace Analysis for Partitioned Big Data:
Algorithms, Analysis, and Implementation

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Distributed Principal Subspace Analysis for Partitioned Big Data: Algorithms, Analysis, and Implementation

IEEE Transactions on Signal and Information Processing over Networks (TSIPN), 2021

11 March 2021

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Papers citing "Distributed Principal Subspace Analysis for Partitioned Big Data: Algorithms, Analysis, and Implementation"

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Title
Rapid Grassmannian Averaging with Chebyshev Polynomials Brighton Ancelin Alex Saad-Falcon Kason Ancelin Justin Romberg 120 0 0 11 Oct 2024
DP-PCA: Statistically Optimal and Differentially Private PCANeural Information Processing Systems (NeurIPS), 2022 Xiyang Liu Weihao Kong Prateek Jain Sewoong Oh 218 28 0 27 May 2022
FAST-PCA: A Fast and Exact Algorithm for Distributed Principal Component AnalysisIEEE Transactions on Signal Processing (IEEE TSP), 2021 Arpita Gang W. Bajwa 160 21 0 27 Aug 2021
Distributed Banach-Picard Iteration: Application to Distributed EM and Distributed PCAIEEE Transactions on Signal Processing (IEEE TSP), 2021 Francisco Andrade Mário A. T. Figueiredo J. Xavier 93 13 0 20 Jun 2021
Distributed Stochastic Algorithms for High-rate Streaming Principal Component Analysis Haroon Raja W. Bajwa 148 11 0 04 Jan 2020