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Personalized Federated Learning with Adaptive Batchnorm for Healthcare

Personalized Federated Learning with Adaptive Batchnorm for Healthcare

1 December 2021
Wang Lu
Jindong Wang
Yiqiang Chen
Xin Qin
Renjun Xu
Dimitrios Dimitriadis
Tao Qin
    FedML
    OOD
ArXivPDFHTML

Papers citing "Personalized Federated Learning with Adaptive Batchnorm for Healthcare"

9 / 9 papers shown
Title
Taming Cross-Domain Representation Variance in Federated Prototype
  Learning with Heterogeneous Data Domains
Taming Cross-Domain Representation Variance in Federated Prototype Learning with Heterogeneous Data Domains
Lei Wang
Jieming Bian
Letian Zhang
Cheng Chen
Jie Xu
29
7
0
14 Mar 2024
Multimodal Federated Learning in Healthcare: a Review
Multimodal Federated Learning in Healthcare: a Review
Jacob Thrasher
Alina Devkota
Prasiddha Siwakotai
Rohit Chivukula
Pranav Poudel
Chaunbo Hu
Binod Bhattarai
P. Gyawali
30
7
0
14 Oct 2023
Patchwork Learning: A Paradigm Towards Integrative Analysis across
  Diverse Biomedical Data Sources
Patchwork Learning: A Paradigm Towards Integrative Analysis across Diverse Biomedical Data Sources
Suraj Rajendran
Weishen Pan
M. Sabuncu
Yong Chen
Jiayu Zhou
Fei Wang
54
14
0
10 May 2023
Federated Learning for Medical Applications: A Taxonomy, Current Trends,
  Challenges, and Future Research Directions
Federated Learning for Medical Applications: A Taxonomy, Current Trends, Challenges, and Future Research Directions
A. Rauniyar
D. Hagos
Debesh Jha
J. E. Haakegaard
Ulas Bagci
D. Rawat
Vladimir Vlassov
OOD
43
91
0
05 Aug 2022
MetaFed: Federated Learning among Federations with Cyclic Knowledge
  Distillation for Personalized Healthcare
MetaFed: Federated Learning among Federations with Cyclic Knowledge Distillation for Personalized Healthcare
Yiqiang Chen
Wang Lu
Xin Qin
Jindong Wang
Xing Xie
FedML
35
58
0
17 Jun 2022
MedMNIST v2 -- A large-scale lightweight benchmark for 2D and 3D
  biomedical image classification
MedMNIST v2 -- A large-scale lightweight benchmark for 2D and 3D biomedical image classification
Jiancheng Yang
Rui Shi
D. Wei
Zequan Liu
Lin Zhao
B. Ke
Hanspeter Pfister
Bingbing Ni
VLM
183
648
0
27 Oct 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
168
787
0
15 Feb 2021
Adaptive Personalized Federated Learning
Adaptive Personalized Federated Learning
Yuyang Deng
Mohammad Mahdi Kamani
M. Mahdavi
FedML
212
542
0
30 Mar 2020
Rethinking Zero-shot Video Classification: End-to-end Training for
  Realistic Applications
Rethinking Zero-shot Video Classification: End-to-end Training for Realistic Applications
Biagio Brattoli
Joseph Tighe
Fedor Zhdanov
Pietro Perona
Krzysztof Chalupka
VLM
137
127
0
03 Mar 2020
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