Decentralized Riemannian Algorithm for Nonconvex Minimax Problems

8 February 2023

Papers citing "Decentralized Riemannian Algorithm for Nonconvex Minimax Problems"

10 / 10 papers shown

Title
Robust Decentralized Learning with Local Updates and Gradient Tracking Sajjad Ghiasvand Amirhossein Reisizadeh Mahnoosh Alizadeh Ramtin Pedarsani 42 3 0 02 May 2024
Stability and Generalization of the Decentralized Stochastic Gradient Descent Ascent Algorithm Miaoxi Zhu Li Shen Bo Du Dacheng Tao 26 6 0 31 Oct 2023
Solving a Class of Non-Convex Minimax Optimization in Federated Learning Xidong Wu Jianhui Sun Zhengmian Hu Aidong Zhang Heng-Chiao Huang FedML 105 12 0 05 Oct 2023
Federated Classification in Hyperbolic Spaces via Secure Aggregation of Convex Hulls Saurav Prakash Jin Sima Chao Pan Eli Chien O. Milenkovic FedML 53 2 0 14 Aug 2023
Serverless Federated AUPRC Optimization for Multi-Party Collaborative Imbalanced Data Mining Xidong Wu Zhengmian Hu Jian Pei Heng Huang 35 12 0 06 Aug 2023
Enhance Diffusion to Improve Robust Generalization Jianhui Sun Sanchit Sinha Aidong Zhang 32 4 0 05 Jun 2023
Performance and Energy Consumption of Parallel Machine Learning Algorithms Xidong Wu Preston Brazzle Stephen Cahoon 39 0 0 01 May 2023
Adversarial Weight Perturbation Improves Generalization in Graph Neural Networks Yihan Wu Aleksandar Bojchevski Heng Huang AAML 39 30 0 09 Dec 2022
Faster Adaptive Federated Learning Xidong Wu Feihu Huang Zhengmian Hu Heng Huang FedML 38 56 0 02 Dec 2022
A Law of Robustness beyond Isoperimetry Yihan Wu Heng Huang Hongyang R. Zhang OOD 27 7 0 23 Feb 2022