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Overcoming the Challenges of Batch Normalization in Federated Learning

Overcoming the Challenges of Batch Normalization in Federated Learning

23 May 2024
R. Guerraoui
Rafael Pinot
Geovani Rizk
John Stephan
François Taiani
    FedML
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Papers citing "Overcoming the Challenges of Batch Normalization in Federated Learning"

5 / 5 papers shown
Title
Federated Learning for Predicting Mild Cognitive Impairment to Dementia Conversion
Gaurang Sharma
Elaheh Moradi
Juha Pajula
Mika Hilvo
Jussi Tohka
59
0
0
05 Mar 2025
Addressing Data Heterogeneity in Federated Learning with Adaptive
  Normalization-Free Feature Recalibration
Addressing Data Heterogeneity in Federated Learning with Adaptive Normalization-Free Feature Recalibration
Vasilis Siomos
Sergio Naval Marimont
Jonathan Passerat-Palmbach
G. Tarroni
32
0
0
02 Oct 2024
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
29
28
0
07 Oct 2022
Byzantine Machine Learning Made Easy by Resilient Averaging of Momentums
Byzantine Machine Learning Made Easy by Resilient Averaging of Momentums
Sadegh Farhadkhani
R. Guerraoui
Nirupam Gupta
Rafael Pinot
John Stephan
FedML
36
67
0
24 May 2022
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
171
791
0
15 Feb 2021
1