FedADMM: A Federated Primal-Dual Algorithm Allowing Partial Participation

28 March 2022

James Anderson

Papers citing "FedADMM: A Federated Primal-Dual Algorithm Allowing Partial Participation"

26 / 26 papers shown

Title
Decentralized Nonconvex Composite Federated Learning with Gradient Tracking and Momentum Yuan Zhou Xinli Shi Xuelong Li Jiachen Zhong G. Wen Jinde Cao FedML 43 0 0 17 Apr 2025
FedCanon: Non-Convex Composite Federated Learning with Efficient Proximal Operation on Heterogeneous Data Yuan Zhou Jiachen Zhong Xinli Shi G. Wen Xinghuo Yu FedML 38 0 0 16 Apr 2025
Controlling Participation in Federated Learning with Feedback Michael Cummins Güner Dilsad Er Michael Muehlebach FedML 82 0 0 28 Nov 2024
A-FedPD: Aligning Dual-Drift is All Federated Primal-Dual Learning Needs Yan Sun Li Shen Dacheng Tao FedML 25 0 0 27 Sep 2024
Cross-Domain Latent Factors Sharing via Implicit Matrix Factorization Abdulaziz Samra Evgeney Frolov Alexey Vasilev Alexander Grigorievskiy Anton Vakhrushev 32 3 0 23 Sep 2024
Federated Frank-Wolfe Algorithm Ali Dadras Sourasekhar Banerjee Karthik Prakhya A. Yurtsever FedML 40 4 0 19 Aug 2024
Federated Cubic Regularized Newton Learning with Sparsification-amplified Differential Privacy Wei Huo Changxin Liu Kemi Ding Karl H. Johansson Ling Shi FedML 40 0 0 08 Aug 2024
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
Momentum for the Win: Collaborative Federated Reinforcement Learning across Heterogeneous Environments Han Wang Sihong He Zhili Zhang Fei Miao James Anderson 51 3 0 29 May 2024
Distributed Event-Based Learning via ADMM Güner Dilsad Er Sebastian Trimpe Michael Muehlebach FedML 44 2 0 17 May 2024
FedADMM-InSa: An Inexact and Self-Adaptive ADMM for Federated Learning Yongcun Song Ziqi Wang Enrique Zuazua FedML 35 2 0 21 Feb 2024
Communication-Efficient Heterogeneous Federated Learning with Generalized Heavy-Ball Momentum Riccardo Zaccone Carlo Masone Marco Ciccone FedML 24 2 0 30 Nov 2023
Improved Communication Efficiency in Federated Natural Policy Gradient via ADMM-based Gradient Updates Guangchen Lan Han Wang James Anderson Christopher Brinton Vaneet Aggarwal FedML 29 27 0 09 Oct 2023
Composite federated learning with heterogeneous data Jiaojiao Zhang Jiang Hu Mikael Johansson FedML 26 4 0 04 Sep 2023
DFedADMM: Dual Constraints Controlled Model Inconsistency for Decentralized Federated Learning Qinglun Li Li Shen Guang-Ming Li Quanjun Yin Dacheng Tao FedML 28 7 0 16 Aug 2023
Understanding How Consistency Works in Federated Learning via Stage-wise Relaxed Initialization Yan Sun Li Shen Dacheng Tao FedML 20 14 0 09 Jun 2023
Dynamic Regularized Sharpness Aware Minimization in Federated Learning: Approaching Global Consistency and Smooth Landscape Yan Sun Li Shen Shi-Yong Chen Liang Ding Dacheng Tao FedML 34 33 0 19 May 2023
Fusion of Global and Local Knowledge for Personalized Federated Learning Tiansheng Huang Li Shen Yan Sun Weiwei Lin Dacheng Tao FedML 56 12 0 21 Feb 2023
FedSpeed: Larger Local Interval, Less Communication Round, and Higher Generalization Accuracy Yan Sun Li Shen Tiansheng Huang Liang Ding Dacheng Tao FedML 36 51 0 21 Feb 2023
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
Federated Temporal Difference Learning with Linear Function Approximation under Environmental Heterogeneity Han Wang A. Mitra Hamed Hassani George J. Pappas James Anderson FedML 29 21 0 04 Feb 2023
FedSysID: A Federated Approach to Sample-Efficient System Identification Han Wang Leonardo F. Toso James Anderson FedML 24 17 0 25 Nov 2022
FedBC: Calibrating Global and Local Models via Federated Learning Beyond Consensus Amrit Singh Bedi Chen Fan Alec Koppel Anit Kumar Sahu Brian M Sadler Furong Huang Tianyi Zhou FedML 27 3 0 22 Jun 2022
Linear Convergence in Federated Learning: Tackling Client Heterogeneity and Sparse Gradients A. Mitra Rayana H. Jaafar George J. Pappas Hamed Hassani FedML 55 157 0 14 Feb 2021
FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization Amirhossein Reisizadeh Aryan Mokhtari Hamed Hassani Ali Jadbabaie Ramtin Pedarsani FedML 174 760 0 28 Sep 2019
Adaptive Federated Learning in Resource Constrained Edge Computing Systems Shiqiang Wang Tiffany Tuor Theodoros Salonidis K. Leung C. Makaya T. He Kevin S. Chan 144 1,687 0 14 Apr 2018