Locally Estimated Global Perturbations are Better than Local
Perturbations for Federated Sharpness-aware Minimization

Locally Estimated Global Perturbations are Better than Local Perturbations for Federated Sharpness-aware Minimization

29 May 2024

Shengchao Hu

Jiangchao Yao

Masashi Sugiyama

Papers citing "Locally Estimated Global Perturbations are Better than Local Perturbations for Federated Sharpness-aware Minimization"

5 / 5 papers shown

Title
A-FedPD: Aligning Dual-Drift is All Federated Primal-Dual Learning Needs Yan Sun Li Shen Dacheng Tao FedML 18 0 0 27 Sep 2024
FedSpeed: Larger Local Interval, Less Communication Round, and Higher Generalization Accuracy Yan Sun Li Shen Tiansheng Huang Liang Ding Dacheng Tao FedML 29 51 0 21 Feb 2023
Efficient Sharpness-aware Minimization for Improved Training of Neural Networks Jiawei Du Hanshu Yan Jiashi Feng Joey Tianyi Zhou Liangli Zhen Rick Siow Mong Goh Vincent Y. F. Tan AAML 102 132 0 07 Oct 2021
Federated Learning on Non-IID Data Silos: An Experimental Study Q. Li Yiqun Diao Quan Chen Bingsheng He FedML OOD 85 943 0 03 Feb 2021
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima N. Keskar Dheevatsa Mudigere J. Nocedal M. Smelyanskiy P. T. P. Tang ODL 273 2,878 0 15 Sep 2016