Decentralized Riemannian Gradient Descent on the Stiefel Manifold

14 February 2021

Papers citing "Decentralized Riemannian Gradient Descent on the Stiefel Manifold"

9 / 9 papers shown

Title
ADEPT: Hierarchical Bayes Approach to Personalized Federated Unsupervised Learning Kaan Ozkara Bruce Huang Ruida Zhou Suhas Diggavi 89 0 0 19 Feb 2024
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 29 11 0 21 Aug 2023
Achieving Consensus over Compact Submanifolds Jiang Hu Jiaojiao Zhang Kangkang Deng 33 4 0 07 Jun 2023
Convex optimization over a probability simplex James Chok G. Vasil 27 2 0 15 May 2023
Decentralized Riemannian Algorithm for Nonconvex Minimax Problems Xidong Wu Zhengmian Hu Heng Huang 35 15 0 08 Feb 2023
Personalized PCA: Decoupling Shared and Unique Features Naichen Shi Raed Al Kontar 32 14 0 17 Jul 2022
FAST-PCA: A Fast and Exact Algorithm for Distributed Principal Component Analysis Arpita Gang W. Bajwa 60 17 0 27 Aug 2021
DeEPCA: Decentralized Exact PCA with Linear Convergence Rate Haishan Ye Tong Zhang 16 25 0 08 Feb 2021
A Linearly Convergent Algorithm for Distributed Principal Component Analysis Arpita Gang W. Bajwa 33 24 0 05 Jan 2021