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Hybrid Batch Normalisation: Resolving the Dilemma of Batch Normalisation in Federated Learning

28 May 2025
Hongyao Chen
Tianyang Xu
Xiaojun Wu
Josef Kittler
    FedML
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Papers citing "Hybrid Batch Normalisation: Resolving the Dilemma of Batch Normalisation in Federated Learning"

15 / 15 papers shown
Title
COALA: A Practical and Vision-Centric Federated Learning Platform
COALA: A Practical and Vision-Centric Federated Learning Platform
Weiming Zhuang
Jian Xu
Chen Chen
Jingtao Li
Lingjuan Lyu
VLM
FedML
84
5
0
23 Jul 2024
FedWon: Triumphing Multi-domain Federated Learning Without Normalization
FedWon: Triumphing Multi-domain Federated Learning Without Normalization
Weiming Zhuang
Lingjuan Lyu
32
10
0
09 Jun 2023
Rethinking Normalization Methods in Federated Learning
Rethinking Normalization Methods in Federated Learning
Zhixu Du
Jingwei Sun
Ang Li
Pin-Yu Chen
Jianyi Zhang
H. Li
Yiran Chen
FedML
34
30
0
07 Oct 2022
Local Learning Matters: Rethinking Data Heterogeneity in Federated
  Learning
Local Learning Matters: Rethinking Data Heterogeneity in Federated Learning
Matías Mendieta
Taojiannan Yang
Pu Wang
Minwoo Lee
Zhengming Ding
Chong Chen
FedML
58
160
0
28 Nov 2021
FedBN: Federated Learning on Non-IID Features via Local Batch
  Normalization
FedBN: Federated Learning on Non-IID Features via Local Batch Normalization
Xiaoxiao Li
Meirui Jiang
Xiaofei Zhang
Michael Kamp
Qi Dou
OOD
FedML
245
802
0
15 Feb 2021
Siloed Federated Learning for Multi-Centric Histopathology Datasets
Siloed Federated Learning for Multi-Centric Histopathology Datasets
M. Andreux
Jean Ogier du Terrail
C. Béguier
Eric W. Tramel
FedML
OOD
AI4CE
27
114
0
17 Aug 2020
Gradient Centralization: A New Optimization Technique for Deep Neural
  Networks
Gradient Centralization: A New Optimization Technique for Deep Neural Networks
Hongwei Yong
Jianqiang Huang
Xiansheng Hua
Lei Zhang
ODL
34
185
0
03 Apr 2020
The Non-IID Data Quagmire of Decentralized Machine Learning
The Non-IID Data Quagmire of Decentralized Machine Learning
Kevin Hsieh
Amar Phanishayee
O. Mutlu
Phillip B. Gibbons
105
563
0
01 Oct 2019
Measuring the Effects of Non-Identical Data Distribution for Federated
  Visual Classification
Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification
T. Hsu
Qi
Matthew Brown
FedML
97
1,128
0
13 Sep 2019
The Normalization Method for Alleviating Pathological Sharpness in Wide
  Neural Networks
The Normalization Method for Alleviating Pathological Sharpness in Wide Neural Networks
Ryo Karakida
S. Akaho
S. Amari
41
41
0
07 Jun 2019
Understanding Batch Normalization
Understanding Batch Normalization
Johan Bjorck
Carla P. Gomes
B. Selman
Kilian Q. Weinberger
48
603
0
01 Jun 2018
Group Normalization
Group Normalization
Yuxin Wu
Kaiming He
89
3,626
0
22 Mar 2018
Layer Normalization
Layer Normalization
Jimmy Lei Ba
J. Kiros
Geoffrey E. Hinton
154
10,412
0
21 Jul 2016
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAtt
MDE
493
99,991
0
04 Sep 2014
One weird trick for parallelizing convolutional neural networks
One weird trick for parallelizing convolutional neural networks
A. Krizhevsky
GNN
36
1,297
0
23 Apr 2014
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