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FedADMM: A Robust Federated Deep Learning Framework with Adaptivity to System Heterogeneity

IEEE International Conference on Data Engineering (ICDE), 2022

7 April 2022

Papers citing "FedADMM: A Robust Federated Deep Learning Framework with Adaptivity to System Heterogeneity"

20 / 20 papers shown

Title
Knowledge Adaptation as Posterior Correction Mohammad Emtiyaz Khan 169 1 0 17 Jun 2025
Federated ADMM from Bayesian Duality Thomas Möllenhoff S. Swaroop Finale Doshi-Velez Mohammad Emtiyaz Khan FedML 168 1 0 16 Jun 2025
FedAPM: Federated Learning via ADMM with Partial Model Personalization Shengkun Zhu Feiteng Nie Jinshan Zeng Sheng Wang Yuan Sun Yuan Yao Shangfeng Chen Quanqing Xu Chuanhui Yang FedML 210 0 0 05 Jun 2025
Communication-Efficient Federated Learning by Quantized Variance Reduction for Heterogeneous Wireless Edge NetworksIEEE Transactions on Mobile Computing (IEEE TMC), 2025 Shuai Wang Yanqing Xu Chaoqun You Mingjie Shao Tony Q.S. Quek 146 2 0 20 Jan 2025
Controlling Participation in Federated Learning with FeedbackConference on Learning for Dynamics & Control (L4DC), 2024 Michael Cummins Güner Dilsad Er Michael Muehlebach FedML 337 0 0 28 Nov 2024
A-FedPD: Aligning Dual-Drift is All Federated Primal-Dual Learning NeedsNeural Information Processing Systems (NeurIPS), 2024 Yan Sun Li Shen Dacheng Tao FedML 213 0 0 27 Sep 2024
On ADMM in Heterogeneous Federated Learning: Personalization, Robustness, and Fairness Shengkun Zhu Jinshan Zeng Sheng Wang Yuan Sun Xiaodong Li Xingtai Lv Zhiyong Peng 209 0 0 23 Jul 2024
Distributed Event-Based Learning via ADMM Güner Dilsad Er Sebastian Trimpe Michael Muehlebach FedML 301 2 0 17 May 2024
SDT-GNN: Streaming-based Distributed Training Framework for Graph Neural Networks Xin Huang Weipeng Zhuo Minh Phu Vuong Shiju Li Jongryool Kim Bradley Rees Chul-Ho Lee GNN 214 1 0 02 Apr 2024
On the Convergence of Federated Learning Algorithms without Data Similarity Ali Beikmohammadi Sarit Khirirat Sindri Magnússon FedML 248 4 0 29 Feb 2024
FedADMM-InSa: An Inexact and Self-Adaptive ADMM for Federated Learning Yongcun Song Ziqi Wang Enrique Zuazua FedML 217 8 0 21 Feb 2024
Communication-Efficient Heterogeneous Federated Learning with Generalized Heavy-Ball Momentum Riccardo Zaccone Sai Praneeth Karimireddy Carlo Masone Marco Ciccone FedML 373 3 0 30 Nov 2023
Personalized Federated Learning via ADMM with Moreau Envelope Shengkun Zhu Jinshan Zeng Sheng Wang Yuan Sun Zhiyong Peng 171 0 0 12 Nov 2023
Federated Learning with Convex Global and Local Constraints Chuan He Le Peng Ju Sun FedML 226 2 0 16 Oct 2023
DFedADMM: Dual Constraints Controlled Model Inconsistency for Decentralized Federated Learning Qinglun Li Li Shen Guang-Ming Li Quanjun Yin Dacheng Tao FedML 112 7 0 16 Aug 2023
Understanding How Consistency Works in Federated Learning via Stage-wise Relaxed InitializationNeural Information Processing Systems (NeurIPS), 2023 Yan Sun Li Shen Dacheng Tao FedML 182 19 0 09 Jun 2023
Dynamic Regularized Sharpness Aware Minimization in Federated Learning: Approaching Global Consistency and Smooth LandscapeInternational Conference on Machine Learning (ICML), 2023 Yan Sun Li Shen Shi-Yong Chen Liang Ding Dacheng Tao FedML 187 57 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 159 16 0 21 Feb 2023
FedSpeed: Larger Local Interval, Less Communication Round, and Higher Generalization AccuracyInternational Conference on Learning Representations (ICLR), 2023 Yan Sun Li Shen Tiansheng Huang Liang Ding Dacheng Tao FedML 183 68 0 21 Feb 2023
Beyond ADMM: A Unified Client-variance-reduced Adaptive Federated Learning FrameworkAAAI Conference on Artificial Intelligence (AAAI), 2022 Shuai Wang Yanqing Xu Zihan Wang Tsung-Hui Chang Tony Q.S. Quek Defeng Sun FedML 188 15 0 03 Dec 2022