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2206.02618
Cited By
Generalized Federated Learning via Sharpness Aware Minimization
6 June 2022
Zhe Qu
Xingyu Li
Rui Duan
Yaojiang Liu
Bo Tang
Zhuo Lu
FedML
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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
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
Sunwoo Lee
109
0
0
18 Mar 2025
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
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
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
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
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
Qinglun Li
Miao Zhang
Mengzhu Wang
Quanjun Yin
Li Shen
OODD
FedML
26
0
0
09 Oct 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
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
Sakshi Choudhary
Sai Aparna Aketi
Kaushik Roy
FedML
45
0
0
22 May 2024
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
Y. Huang
Wanqing Xie
Mingzhen Li
Mingmei Cheng
Jinzhou Wu
Weixiao Wang
Jane You
Xiaofeng Liu
FedML
28
3
0
23 Oct 2023
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
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
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
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
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
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
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
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
Weisen Jiang
Hansi Yang
Yu Zhang
James T. Kwok
AAML
81
31
0
28 Apr 2023
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
Jiawei Du
Hanshu Yan
Jiashi Feng
Qiufeng Wang
Liangli Zhen
Rick Siow Mong Goh
Vincent Y. F. Tan
AAML
113
132
0
07 Oct 2021
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
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
N. Keskar
Dheevatsa Mudigere
J. Nocedal
M. Smelyanskiy
P. T. P. Tang
ODL
284
2,890
0
15 Sep 2016
1