Distributed Estimation of Principal Eigenspaces

21 February 2017

Papers citing "Distributed Estimation of Principal Eigenspaces"

34 / 34 papers shown

Title
Byzantine-tolerant distributed learning of finite mixture models Qiong Zhang Jiahua Chen Jiahua Chen FedML 53 0 0 19 Jul 2024
Limit Results for Estimation of Connectivity Matrix in Multi-layer Stochastic Block Models Wenqing Su Xiao Guo Ying Yang 49 0 0 17 Jun 2024
Distributed estimation of spiked eigenvalues in spiked population models Lu Yan Jiang Hu 26 0 0 23 Oct 2023
On the asymptotic properties of a bagging estimator with a massive dataset Yuan Gao Riquan Zhang Hansheng Wang 19 1 0 13 Apr 2023
A review of distributed statistical inference Yuan Gao Weidong Liu Hansheng Wang Xiaozhou Wang Yibo Yan Riquan Zhang 16 42 0 13 Apr 2023
Scalable and Privacy-Preserving Federated Principal Component Analysis D. Froelicher Hyunghoon Cho Manaswitha Edupalli João Sá Sousa Jean-Philippe Bossuat Apostolos Pyrgelis J. Troncoso-Pastoriza Bonnie Berger Jean-Pierre Hubaux FedML 24 15 0 31 Mar 2023
Statistical Analysis of Karcher Means for Random Restricted PSD Matrices Hengchao Chen Xiang Li Qiang Sun 17 1 0 24 Feb 2023
Heterogeneous Federated Learning on a Graph Huiyuan Wang Xuyang Zhao Weijie Lin FedML 62 4 0 19 Sep 2022
Personalized PCA: Decoupling Shared and Unique Features Naichen Shi Raed Al Kontar 37 14 0 17 Jul 2022
Communication-efficient Distributed Newton-like Optimization with Gradients and M-estimators Ziyan Yin 34 0 0 13 Jul 2022
Communication-efficient distributed eigenspace estimation with arbitrary node failures Vasileios Charisopoulos Anil Damle 16 1 0 31 May 2022
Distributed Learning for Principle Eigenspaces without Moment Constraints Yong He Zichen Liu Yalin Wang 38 0 0 29 Apr 2022
Distributed Nonparametric Estimation under Communication Constraints Azeem Zaman Botond Szabó 38 3 0 21 Apr 2022
Vertical Federated Principal Component Analysis and Its Kernel Extension on Feature-wise Distributed Data Y. Cheung Juyong Jiang F. Yu Jian Lou FedML 35 12 0 03 Mar 2022
Distributed Sparse Multicategory Discriminant Analysis Hengchao Chen Qiang Sun 22 1 0 22 Feb 2022
An Asymptotic Analysis of Minibatch-Based Momentum Methods for Linear Regression Models Yuan Gao Xuening Zhu Haobo Qi Guodong Li Riquan Zhang Hansheng Wang 23 3 0 02 Nov 2021
Distributed Principal Component Analysis with Limited Communication Foivos Alimisis Peter Davies Bart Vandereycken Dan Alistarh 32 12 0 27 Oct 2021
A Sequential Addressing Subsampling Method for Massive Data Analysis under Memory Constraint Rui Pan Yingqiu Zhu Baishan Guo Xuening Zhu Hansheng Wang 22 5 0 03 Oct 2021
Oversampling Divide-and-conquer for Response-skewed Kernel Ridge Regression Jingyi Zhang Xiaoxiao Sun 27 0 0 13 Jul 2021
Distributed Nonparametric Function Estimation: Optimal Rate of Convergence and Cost of Adaptation AI T.TONYC EI Hongjiw 24 7 0 01 Jul 2021
Turning Channel Noise into an Accelerator for Over-the-Air Principal Component Analysis Zezhong Zhang Guangxu Zhu Rui Wang Vincent K. N. Lau Kaibin Huang 38 31 0 20 Apr 2021
Distributed Bootstrap for Simultaneous Inference Under High Dimensionality Yang Yu Shih-Kang Chao Guang Cheng FedML 40 10 0 19 Feb 2021
Spectral Methods for Data Science: A Statistical Perspective Yuxin Chen Yuejie Chi Jianqing Fan Cong Ma 46 165 0 15 Dec 2020
One-shot Distributed Algorithm for Generalized Eigenvalue Problem Kexin Lv Fan He Xiaolin Huang Jie Yang Zheng Sun 26 0 0 22 Oct 2020
Distributed Learning of Finite Gaussian Mixtures Qiong Zhang Jiahua Chen 49 8 0 20 Oct 2020
Distributed ARIMA Models for Ultra-long Time Series Xiaoqian Wang Yanfei Kang Rob J. Hyndman Feng Li AI4TS 14 50 0 19 Jul 2020
Distributed Estimation for Principal Component Analysis: an Enlarged Eigenspace Analysis Xi Chen Jason D. Lee He Li Yun Yang 28 6 0 05 Apr 2020
Distributed Gaussian Mean Estimation under Communication Constraints: Optimal Rates and Communication-Efficient Algorithms T. Tony Cai Hongjie Wei 27 27 0 24 Jan 2020
Communication-Efficient Accurate Statistical Estimation Jianqing Fan Yongyi Guo Kaizheng Wang 19 110 0 12 Jun 2019
Online Distributed Estimation of Principal Eigenspaces Davoud Ataee Tarzanagh Mohamad Kazem Shirani Faradonbeh George Michailidis 19 2 0 17 May 2019
Distributed Inference for Linear Support Vector Machine Xiaozhou Wang Zhuoyi Yang Xi Chen Weidong Liu 19 64 0 29 Nov 2018
First-order Newton-type Estimator for Distributed Estimation and Inference Xi Chen Weidong Liu Yichen Zhang 34 48 0 28 Nov 2018
Distributed Nonparametric Regression under Communication Constraints Yuancheng Zhu John D. Lafferty 25 26 0 04 Mar 2018
Singular Vector Perturbation under Gaussian Noise Rongrong Wang 71 31 0 09 Aug 2012