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dFLMoE: Decentralized Federated Learning via Mixture of Experts for Medical Data Analysis
13 March 2025
Luyuan Xie
Tianyu Luan
Wenyuan Cai
Guochen Yan
Zhaoyu Chen
Nan Xi
Yuejian Fang
Qingni Shen
Zhonghai Wu
Junsong Yuan
FedML
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Papers citing
"dFLMoE: Decentralized Federated Learning via Mixture of Experts for Medical Data Analysis"
5 / 55 papers shown
Title
Fully Convolutional Networks for Semantic Segmentation
Evan Shelhamer
Jonathan Long
Trevor Darrell
VOS
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752
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20 May 2016
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size
F. Iandola
Song Han
Matthew W. Moskewicz
Khalid Ashraf
W. Dally
Kurt Keutzer
159
7,501
0
24 Feb 2016
Communication-Efficient Learning of Deep Networks from Decentralized Data
H. B. McMahan
Eider Moore
Daniel Ramage
S. Hampson
Blaise Agüera y Arcas
FedML
408
17,615
0
17 Feb 2016
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
1.9K
77,441
0
18 May 2015
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAtt
MDE
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100,529
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04 Sep 2014
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