Dynamic Regularized Sharpness Aware Minimization in Federated Learning:
Approaching Global Consistency and Smooth Landscape

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Dynamic Regularized Sharpness Aware Minimization in Federated Learning: Approaching Global Consistency and Smooth Landscape

International Conference on Machine Learning (ICML), 2023

19 May 2023

Li Shen

Liang Ding

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Papers citing "Dynamic Regularized Sharpness Aware Minimization in Federated Learning: Approaching Global Consistency and Smooth Landscape"

14 / 14 papers shown

Title
LSAM: Asynchronous Distributed Training with Landscape-Smoothed Sharpness-Aware Minimization Yunfei Teng Sixin Zhang 117 0 0 03 Sep 2025
Communication-Efficient Distributed Training for Collaborative Flat Optima Recovery in Deep Learning Tolga Dimlioglu A. Choromańska FedML 242 1 0 27 Jul 2025
Debunking Optimization Myths in Federated Learning for Medical Image Classification Youngjoon Lee Hyukjoon Lee J. Gong Yang Cao Joonhyuk Kang FedML 104 1 0 26 Jul 2025
FedWSQ: Efficient Federated Learning with Weight Standardization and Distribution-Aware Non-Uniform Quantization Seung-Wook Kim Seongyeol Kim Jiah Kim Seowon Ji Se-Ho Lee FedML MQ 207 0 0 30 Jun 2025
A Unified Benchmark of Federated Learning with Kolmogorov-Arnold Networks for Medical Imaging Youngjoon Lee J. Gong Joonhyuk Kang FedML 289 4 0 28 Apr 2025
Aggregation on Learnable Manifolds for Asynchronous Federated Optimization Archie Licudi A. Thakur Soheila Molaei Danielle Belgrave David Clifton FedML 213 0 0 18 Mar 2025
A Method for Enhancing Generalization of Adam by Multiple IntegrationsAAAI Conference on Artificial Intelligence (AAAI), 2024 Long Jin Han Nong Liangming Chen Zhenming Su 233 0 0 17 Dec 2024
Understanding Generalization of Federated Learning: the Trade-off between Model Stability and Optimization Dun Zeng Zheshun Wu Shiyu Liu Yu Pan Xiaoying Tang Zenglin Xu MLT FedML 485 2 0 25 Nov 2024
Federated Learning with Relative Fairness Shogo H. Nakakita Tatsuya Kaneko Shinya Takamaeda-Yamazaki Masaaki Imaizumi FedML 194 2 0 02 Nov 2024
FuseFL: One-Shot Federated Learning through the Lens of Causality with Progressive Model FusionNeural Information Processing Systems (NeurIPS), 2024 Zhenheng Tang Yonggang Zhang Peijie Dong Yiu-ming Cheung Amelie Chi Zhou Bo Han Xiaowen Chu FedML MoMe AI4CE 296 14 0 27 Oct 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 237 0 0 27 Sep 2024
SADDLe: Sharpness-Aware Decentralized Deep Learning with Heterogeneous Data Sakshi Choudhary Sai Aparna Aketi Kaushik Roy FedML 303 1 0 22 May 2024
From Optimization to Generalization: Fair Federated Learning against Quality Shift via Inter-Client Sharpness Matching Nannan Wu Zhuo Kuang Zengqiang Yan Li Yu FedML 196 8 0 27 Apr 2024
Window-based Model Averaging Improves Generalization in Heterogeneous Federated Learning Debora Caldarola Barbara Caputo Marco Ciccone FedML 234 8 0 02 Oct 2023