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Generalized Federated Learning via Sharpness Aware Minimization

Generalized Federated Learning via Sharpness Aware Minimization

6 June 2022
Zhe Qu
Xingyu Li
Rui Duan
Yaojiang Liu
Bo Tang
Zhuo Lu
    FedML
ArXivPDFHTML

Papers citing "Generalized Federated Learning via Sharpness Aware Minimization"

29 / 29 papers shown
Title
A Unified Benchmark of Federated Learning with Kolmogorov-Arnold Networks for Medical Imaging
A Unified Benchmark of Federated Learning with Kolmogorov-Arnold Networks for Medical Imaging
Youngjoon Lee
J. Gong
Joonhyuk Kang
FedML
50
1
0
28 Apr 2025
Layer-wise Adaptive Gradient Norm Penalizing Method for Efficient and Accurate Deep Learning
Layer-wise Adaptive Gradient Norm Penalizing Method for Efficient and Accurate Deep Learning
Sunwoo Lee
109
0
0
18 Mar 2025
Differential Privacy Personalized Federated Learning Based on Dynamically Sparsified Client Updates
Differential Privacy Personalized Federated Learning Based on Dynamically Sparsified Client Updates
Chuanyin Wang
Yifei Zhang
Neng Gao
Qiang Luo
FedML
66
0
0
12 Mar 2025
BTFL: A Bayesian-based Test-Time Generalization Method for Internal and External Data Distributions in Federated learning
Yu Zhou
Bingyan Liu
FedML
OOD
TTA
59
0
0
09 Mar 2025
Geometric Knowledge-Guided Localized Global Distribution Alignment for Federated Learning
Geometric Knowledge-Guided Localized Global Distribution Alignment for Federated Learning
Yanbiao Ma
Wei-Ming Dai
Wenke Huang
Jiayi Chen
102
0
0
09 Mar 2025
FAA-CLIP: Federated Adversarial Adaptation of CLIP
Yihang Wu
A. Chaddad
Christian Desrosiers
Tareef Daqqaq
R. Kateb
VLM
51
0
0
26 Feb 2025
FedTLU: Federated Learning with Targeted Layer Updates
FedTLU: Federated Learning with Targeted Layer Updates
Jong-Ik Park
Carlee Joe-Wong
FedML
84
0
0
28 Jan 2025
Understanding Generalization of Federated Learning: the Trade-off between Model Stability and Optimization
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
89
1
0
25 Nov 2024
Federated Learning with Relative Fairness
Federated Learning with Relative Fairness
Shogo H. Nakakita
Tatsuya Kaneko
Shinya Takamaeda-Yamazaki
Masaaki Imaizumi
FedML
30
2
0
02 Nov 2024
OledFL: Unleashing the Potential of Decentralized Federated Learning via
  Opposite Lookahead Enhancement
OledFL: Unleashing the Potential of Decentralized Federated Learning via Opposite Lookahead Enhancement
Qinglun Li
Miao Zhang
Mengzhu Wang
Quanjun Yin
Li Shen
OODD
FedML
24
0
0
09 Oct 2024
A-FedPD: Aligning Dual-Drift is All Federated Primal-Dual Learning Needs
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
Agnostic Sharpness-Aware Minimization
Agnostic Sharpness-Aware Minimization
Van-Anh Nguyen
Quyen Tran
Tuan Truong
Thanh-Toan Do
Dinh Q. Phung
Trung Le
46
0
0
11 Jun 2024
SADDLe: Sharpness-Aware Decentralized Deep Learning with Heterogeneous Data
SADDLe: Sharpness-Aware Decentralized Deep Learning with Heterogeneous Data
Sakshi Choudhary
Sai Aparna Aketi
Kaushik Roy
FedML
45
0
0
22 May 2024
Critical Influence of Overparameterization on Sharpness-aware Minimization
Critical Influence of Overparameterization on Sharpness-aware Minimization
Sungbin Shin
Dongyeop Lee
Maksym Andriushchenko
Namhoon Lee
AAML
44
1
0
29 Nov 2023
Vicinal Feature Statistics Augmentation for Federated 3D Medical Volume
  Segmentation
Vicinal Feature Statistics Augmentation for Federated 3D Medical Volume Segmentation
Y. Huang
Wanqing Xie
Mingzhen Li
Mingmei Cheng
Jinzhou Wu
Weixiao Wang
Jane You
Xiaofeng Liu
FedML
26
3
0
23 Oct 2023
Tackling the Non-IID Issue in Heterogeneous Federated Learning by
  Gradient Harmonization
Tackling the Non-IID Issue in Heterogeneous Federated Learning by Gradient Harmonization
Xinyu Zhang
Weiyu Sun
Ying Chen
FedML
30
5
0
13 Sep 2023
UPFL: Unsupervised Personalized Federated Learning towards New Clients
UPFL: Unsupervised Personalized Federated Learning towards New Clients
Tiandi Ye
Cen Chen
Yinggui Wang
Xiang Li
Ming Gao
FedML
26
3
0
29 Jul 2023
Heterogeneous Federated Learning: State-of-the-art and Research
  Challenges
Heterogeneous Federated Learning: State-of-the-art and Research Challenges
Mang Ye
Xiuwen Fang
Bo Du
PongChi Yuen
Dacheng Tao
FedML
AAML
39
244
0
20 Jul 2023
FedSoup: Improving Generalization and Personalization in Federated
  Learning via Selective Model Interpolation
FedSoup: Improving Generalization and Personalization in Federated Learning via Selective Model Interpolation
Minghui Chen
Meirui Jiang
Qianming Dou
Zehua Wang
Xiaoxiao Li
FedML
35
15
0
20 Jul 2023
Personalized Federated Learning via Amortized Bayesian Meta-Learning
Personalized Federated Learning via Amortized Bayesian Meta-Learning
Shiyu Liu
Shaogao Lv
Dun Zeng
Zenglin Xu
Hongya Wang
Yue Yu
FedML
28
3
0
05 Jul 2023
Dynamic Regularized Sharpness Aware Minimization in Federated Learning:
  Approaching Global Consistency and Smooth Landscape
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
DualFL: A Duality-based Federated Learning Algorithm with Communication
  Acceleration in the General Convex Regime
DualFL: A Duality-based Federated Learning Algorithm with Communication Acceleration in the General Convex Regime
Jongho Park
Jinchao Xu
FedML
57
1
0
17 May 2023
Towards the Flatter Landscape and Better Generalization in Federated
  Learning under Client-level Differential Privacy
Towards the Flatter Landscape and Better Generalization in Federated Learning under Client-level Differential Privacy
Yi Shi
Kang Wei
Li Shen
Yingqi Liu
Xueqian Wang
Bo Yuan
Dacheng Tao
FedML
33
2
0
01 May 2023
An Adaptive Policy to Employ Sharpness-Aware Minimization
An Adaptive Policy to Employ Sharpness-Aware Minimization
Weisen Jiang
Hansi Yang
Yu Zhang
James T. Kwok
AAML
81
31
0
28 Apr 2023
FedFA: Federated Feature Augmentation
FedFA: Federated Feature Augmentation
Tianfei Zhou
E. Konukoglu
OOD
FedML
25
28
0
30 Jan 2023
Efficient Sharpness-aware Minimization for Improved Training of Neural
  Networks
Efficient Sharpness-aware Minimization for Improved Training of Neural Networks
Jiawei Du
Hanshu Yan
Jiashi Feng
Qiufeng Wang
Liangli Zhen
Rick Siow Mong Goh
Vincent Y. F. Tan
AAML
110
132
0
07 Oct 2021
Adaptive Personalized Federated Learning
Adaptive Personalized Federated Learning
Yuyang Deng
Mohammad Mahdi Kamani
M. Mahdavi
FedML
212
542
0
30 Mar 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
276
5,661
0
05 Dec 2016
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp
  Minima
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
281
2,889
0
15 Sep 2016
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