Decentralized Optimization Over the Stiefel Manifold by an Approximate
Augmented Lagrangian Function

Decentralized Optimization Over the Stiefel Manifold by an Approximate Augmented Lagrangian Function

IEEE Transactions on Signal Processing (IEEE TSP), 2021

30 December 2021

Lei Wang

Xin Liu

ArXiv (abs)PDF HTML

Papers citing "Decentralized Optimization Over the Stiefel Manifold by an Approximate Augmented Lagrangian Function"

8 / 8 papers shown

Title
A Support-Set Algorithm for Optimization Problems with Nonnegative and Orthogonal Constraints Lei Wang Xin Liu X. Chen 48 0 0 05 Nov 2025
Decentralized Optimization on Compact Submanifolds by Quantized Riemannian Gradient TrackingIEEE Transactions on Signal Processing (IEEE TSP), 2025 Jun Chen Lina Liu T. Zhu Yong Liu Guang Dai Yunliang Jiang Ivor Tsang 74 0 0 09 Jun 2025
Nonconvex Federated Learning on Compact Smooth Submanifolds With Heterogeneous Data Jiaojiao Zhang Jiang Hu Anthony Man-Cho So Mikael Johansson 150 5 0 12 Jun 2024
Decentralized Riemannian Conjugate Gradient Method on the Stiefel ManifoldInternational Conference on Learning Representations (ICLR), 2023 Jun Chen Haishan Ye Mengmeng Wang Tianxin Huang Guangwen Dai Ivor W.Tsang Wenshu Fan 164 15 0 21 Aug 2023
Decentralized Weakly Convex Optimization Over the Stiefel Manifold Jinxin Wang Jiang Hu Shixiang Chen Zengde Deng Anthony Man-Cho So 115 8 0 31 Mar 2023
Decentralized Riemannian natural gradient methods with Kronecker-product approximations Jiang Hu Kangkang Deng Na Li Shijie Zhao 142 9 0 16 Mar 2023
$Decentralized Complete Dictionary Learning via $\ell^{4}$-Norm Maximization$ Decentralized Complete Dictionary Learning via $\ell^{4}$ -Norm Maximization Qiheng Lu Lixiang Lian 130 1 0 07 Nov 2022
Variance reduced stochastic optimization over directed graphs with row and column stochastic weightsAsilomar Conference on Signals, Systems and Computers (ACSSC), 2022 Muhammad I. Qureshi Ran Xin S. Kar U. Khan 99 4 0 07 Feb 2022