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DeEPCA: Decentralized Exact PCA with Linear Convergence Rate

DeEPCA: Decentralized Exact PCA with Linear Convergence Rate

8 February 2021
Haishan Ye
Tong Zhang
ArXivPDFHTML

Papers citing "DeEPCA: Decentralized Exact PCA with Linear Convergence Rate"

13 / 13 papers shown
Title
Rapid Grassmannian Averaging with Chebyshev Polynomials
Rapid Grassmannian Averaging with Chebyshev Polynomials
Brighton Ancelin
Alex Saad-Falcon
Kason Ancelin
Justin Romberg
34
0
0
11 Oct 2024
Nonconvex Federated Learning on Compact Smooth Submanifolds With
  Heterogeneous Data
Nonconvex Federated Learning on Compact Smooth Submanifolds With Heterogeneous Data
Jiaojiao Zhang
Jiang Hu
Anthony Man-Cho So
Mikael Johansson
37
2
0
12 Jun 2024
Decentralized Directed Collaboration for Personalized Federated Learning
Decentralized Directed Collaboration for Personalized Federated Learning
Yingqi Liu
Yifan Shi
Qinglun Li
Baoyuan Wu
Xueqian Wang
Li Shen
FedML
65
3
0
28 May 2024
Decentralized Riemannian Conjugate Gradient Method on the Stiefel
  Manifold
Decentralized Riemannian Conjugate Gradient Method on the Stiefel Manifold
Jun Chen
Haishan Ye
Mengmeng Wang
Tianxin Huang
Guangwen Dai
Ivor W.Tsang
Yong-Jin Liu
23
10
0
21 Aug 2023
Achieving Consensus over Compact Submanifolds
Achieving Consensus over Compact Submanifolds
Jiang Hu
Jiaojiao Zhang
Kangkang Deng
28
3
0
07 Jun 2023
Towards More Suitable Personalization in Federated Learning via
  Decentralized Partial Model Training
Towards More Suitable Personalization in Federated Learning via Decentralized Partial Model Training
Yi Shi
Yingqi Liu
Yan Sun
Zihao Lin
Li Shen
Xueqian Wang
Dacheng Tao
FedML
45
10
0
24 May 2023
Decentralized Weakly Convex Optimization Over the Stiefel Manifold
Decentralized Weakly Convex Optimization Over the Stiefel Manifold
Jinxin Wang
Jiang Hu
Shixiang Chen
Zengde Deng
Anthony Man-Cho So
17
7
0
31 Mar 2023
Improving the Model Consistency of Decentralized Federated Learning
Improving the Model Consistency of Decentralized Federated Learning
Yi Shi
Li Shen
Kang Wei
Yan Sun
Bo Yuan
Xueqian Wang
Dacheng Tao
FedML
36
51
0
08 Feb 2023
Decentralized Optimization Over the Stiefel Manifold by an Approximate
  Augmented Lagrangian Function
Decentralized Optimization Over the Stiefel Manifold by an Approximate Augmented Lagrangian Function
Lei Wang
Xin Liu
26
23
0
30 Dec 2021
FAST-PCA: A Fast and Exact Algorithm for Distributed Principal Component
  Analysis
FAST-PCA: A Fast and Exact Algorithm for Distributed Principal Component Analysis
Arpita Gang
W. Bajwa
60
17
0
27 Aug 2021
Distributed Principal Subspace Analysis for Partitioned Big Data:
  Algorithms, Analysis, and Implementation
Distributed Principal Subspace Analysis for Partitioned Big Data: Algorithms, Analysis, and Implementation
Arpita Gang
Bingqing Xiang
W. Bajwa
17
14
0
11 Mar 2021
Decentralized Riemannian Gradient Descent on the Stiefel Manifold
Decentralized Riemannian Gradient Descent on the Stiefel Manifold
Shixiang Chen
Alfredo García
Mingyi Hong
Shahin Shahrampour
9
42
0
14 Feb 2021
Seeking Consensus on Subspaces in Federated Principal Component Analysis
Seeking Consensus on Subspaces in Federated Principal Component Analysis
Lei Wang
Xin Liu
Yin Zhang
FedML
16
2
0
07 Dec 2020
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