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dFLMoE: Decentralized Federated Learning via Mixture of Experts for Medical Data Analysis
v1v2v3v4 (latest)

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
ArXiv (abs)PDFHTML

Papers citing "dFLMoE: Decentralized Federated Learning via Mixture of Experts for Medical Data Analysis"

50 / 55 papers shown
Title
FedVCK: Non-IID Robust and Communication-Efficient Federated Learning
  via Valuable Condensed Knowledge for Medical Image Analysis
FedVCK: Non-IID Robust and Communication-Efficient Federated Learning via Valuable Condensed Knowledge for Medical Image Analysis
Guochen Yan
Luyuan Xie
Xinyi Gao
Wentao Zhang
Qingni Shen
Yuejian Fang
Zhonghai Wu
FedML
62
1
0
24 Dec 2024
AnatoMask: Enhancing Medical Image Segmentation with
  Reconstruction-guided Self-masking
AnatoMask: Enhancing Medical Image Segmentation with Reconstruction-guided Self-masking
Yuheng Li
Tianyu Luan
Yizhou Wu
Shaoyan Pan
Yenho Chen
Xiaofeng Yang
74
5
0
09 Jul 2024
MH-pFLGB: Model Heterogeneous personalized Federated Learning via Global
  Bypass for Medical Image Analysis
MH-pFLGB: Model Heterogeneous personalized Federated Learning via Global Bypass for Medical Image Analysis
Luyuan Xie
Manqing Lin
ChenMing Xu
Tianyu Luan
Zhipeng Zeng
Wenjun Qian
Cong Li
Yuejian Fang
Qingni Shen
Zhonghai Wu
121
2
0
29 Jun 2024
pFLFE: Cross-silo Personalized Federated Learning via Feature
  Enhancement on Medical Image Segmentation
pFLFE: Cross-silo Personalized Federated Learning via Feature Enhancement on Medical Image Segmentation
Luyuan Xie
Manqing Lin
Siyuan Liu
ChenMing Xu
Tianyu Luan
Cong Li
Yuejian Fang
Qingni Shen
Zhonghai Wu
89
8
0
29 Jun 2024
MH-pFLID: Model Heterogeneous personalized Federated Learning via
  Injection and Distillation for Medical Data Analysis
MH-pFLID: Model Heterogeneous personalized Federated Learning via Injection and Distillation for Medical Data Analysis
Luyuan Xie
Manqing Lin
Tianyu Luan
Cong Li
Yuejian Fang
Qingni Shen
Zhonghai Wu
112
10
0
10 May 2024
Federated Data Model
Federated Data Model
Xiao Chen
Shunan Zhang
Eric Z. Chen
Yikang Liu
Lin Zhao
Terrence Chen
Shanhui Sun
FedMLMedIm
47
3
0
13 Mar 2024
Spectrum AUC Difference (SAUCD): Human-aligned 3D Shape Evaluation
Spectrum AUC Difference (SAUCD): Human-aligned 3D Shape Evaluation
Tianyu Luan
Zhong Li
Lele Chen
Xuan Gong
Lichang Chen
Yinghao Xu
Junsong Yuan
104
8
0
03 Mar 2024
Benchmarking federated strategies in Peer-to-Peer Federated learning for
  biomedical data
Benchmarking federated strategies in Peer-to-Peer Federated learning for biomedical data
Jose L. Salmeron
Irina Arévalo
A. Ruiz-Celma
OODFedML
128
13
0
15 Feb 2024
Federated Learning via Input-Output Collaborative Distillation
Federated Learning via Input-Output Collaborative Distillation
Xuan Gong
Shanglin Li
Yuxiang Bao
Barry Yao
Yawen Huang
Ziyan Wu
Baochang Zhang
Yefeng Zheng
David Doermann
FedML
65
6
0
22 Dec 2023
pFedES: Model Heterogeneous Personalized Federated Learning with Feature
  Extractor Sharing
pFedES: Model Heterogeneous Personalized Federated Learning with Feature Extractor Sharing
Liping Yi
Han Yu
Gang Wang
Xiaoguang Liu
87
7
0
12 Nov 2023
High Fidelity 3D Hand Shape Reconstruction via Scalable Graph Frequency
  Decomposition
High Fidelity 3D Hand Shape Reconstruction via Scalable Graph Frequency Decomposition
Tianyu Luan
Yuanhao Zhai
Jingjing Meng
Zhong Li
Zhaoyu Chen
Yinghao Xu
Junsong Yuan
3DH
72
19
0
08 Jul 2023
SHISRCNet: Super-resolution And Classification Network For
  Low-resolution Breast Cancer Histopathology Image
SHISRCNet: Super-resolution And Classification Network For Low-resolution Breast Cancer Histopathology Image
Luyuan Xie
Cong Li
Zirui Wang
Xin Zhang
Boyan Chen
Qingni Shen
Zhonghai Wu
SupR
58
11
0
25 Jun 2023
Federated Learning with Privacy-Preserving Ensemble Attention
  Distillation
Federated Learning with Privacy-Preserving Ensemble Attention Distillation
Xuan Gong
Liangchen Song
Rishi Vedula
Abhishek Sharma
Meng Zheng
...
Arun Innanje
Terrence Chen
Junsong Yuan
David Doermann
Ziyan Wu
FedML
71
28
0
16 Oct 2022
Preserving Privacy in Federated Learning with Ensemble Cross-Domain
  Knowledge Distillation
Preserving Privacy in Federated Learning with Ensemble Cross-Domain Knowledge Distillation
Xuan Gong
Abhishek Sharma
Srikrishna Karanam
Ziyan Wu
Terrence Chen
David Doermann
Arun Innanje
FedML
73
76
0
10 Sep 2022
Discriminative Kernel Convolution Network for Multi-Label Ophthalmic
  Disease Detection on Imbalanced Fundus Image Dataset
Discriminative Kernel Convolution Network for Multi-Label Ophthalmic Disease Detection on Imbalanced Fundus Image Dataset
Amit Bhati
Neha Gour
P. Khanna
A. Ojha
46
39
0
16 Jul 2022
Personalizing Federated Medical Image Segmentation via Local Calibration
Personalizing Federated Medical Image Segmentation via Local Calibration
Jiacheng Wang
Yueming Jin
Liansheng Wang
FedML
75
33
0
11 Jul 2022
BlockDFL: A Blockchain-based Fully Decentralized Peer-to-Peer Federated
  Learning Framework
BlockDFL: A Blockchain-based Fully Decentralized Peer-to-Peer Federated Learning Framework
Zhen Qin
Xueqiang Yan
Mengchu Zhou
Shuiguang Deng
55
16
0
21 May 2022
CFL: Cluster Federated Learning in Large-scale Peer-to-Peer Networks
CFL: Cluster Federated Learning in Large-scale Peer-to-Peer Networks
Qian Chen
Zilong Wang
Yilin Zhou
Jiawei Chen
Danyang Xiao
Xiaodong Lin
FedML
59
6
0
08 Apr 2022
Towards Effective Clustered Federated Learning: A Peer-to-peer Framework
  with Adaptive Neighbor Matching
Towards Effective Clustered Federated Learning: A Peer-to-peer Framework with Adaptive Neighbor Matching
Zexi Li
Jiaxun Lu
Shuang Luo
Didi Zhu
Yunfeng Shao
Yinchuan Li
Zhimeng Zhang
Yongheng Wang
Chao-Xiang Wu
FedML
68
38
0
23 Mar 2022
Closing the Generalization Gap of Cross-silo Federated Medical Image
  Segmentation
Closing the Generalization Gap of Cross-silo Federated Medical Image Segmentation
An Xu
Wenqi Li
Pengfei Guo
Dong Yang
H. Roth
Ali Hatamizadeh
Can Zhao
Daguang Xu
Heng-Chiao Huang
Ziyue Xu
FedML
76
53
0
18 Mar 2022
Personalized Federated Learning through Local Memorization
Personalized Federated Learning through Local Memorization
Othmane Marfoq
Giovanni Neglia
Laetitia Kameni
Richard Vidal
FedML
113
94
0
17 Nov 2021
Parameterized Knowledge Transfer for Personalized Federated Learning
Parameterized Knowledge Transfer for Personalized Federated Learning
Jie Zhang
Song Guo
Xiaosong Ma
Yining Qi
Wencao Xu
Feijie Wu
92
182
0
04 Nov 2021
Polyp-PVT: Polyp Segmentation with Pyramid Vision Transformers
Polyp-PVT: Polyp Segmentation with Pyramid Vision Transformers
B. Dong
Wenhai Wang
Deng-Ping Fan
Jinpeng Li
Huazhu Fu
Ling Shao
ViTMedIm
73
326
0
16 Aug 2021
PC-HMR: Pose Calibration for 3D Human Mesh Recovery from 2D
  Images/Videos
PC-HMR: Pose Calibration for 3D Human Mesh Recovery from 2D Images/Videos
Tianyu Luan
Yali Wang
Junhao Zhang
Zhe Wang
Zhipeng Zhou
Yu Qiao
3DH
75
39
0
16 Mar 2021
A Transformer-based Framework for Multivariate Time Series
  Representation Learning
A Transformer-based Framework for Multivariate Time Series Representation Learning
George Zerveas
Srideepika Jayaraman
Dhaval Patel
A. Bhamidipaty
Carsten Eickhoff
AI4TS
96
931
0
06 Oct 2020
Distillation-Based Semi-Supervised Federated Learning for
  Communication-Efficient Collaborative Training with Non-IID Private Data
Distillation-Based Semi-Supervised Federated Learning for Communication-Efficient Collaborative Training with Non-IID Private Data
Sohei Itahara
Takayuki Nishio
Yusuke Koda
M. Morikura
Koji Yamamoto
FedML
52
261
0
14 Aug 2020
Multi-Task Federated Learning for Personalised Deep Neural Networks in
  Edge Computing
Multi-Task Federated Learning for Personalised Deep Neural Networks in Edge Computing
Jed Mills
Jia Hu
Geyong Min
FedML
67
203
0
17 Jul 2020
Personalized Cross-Silo Federated Learning on Non-IID Data
Personalized Cross-Silo Federated Learning on Non-IID Data
Yutao Huang
Lingyang Chu
Zirui Zhou
Lanjun Wang
Jiangchuan Liu
J. Pei
Yong Zhang
FedML
101
611
0
07 Jul 2020
Ensemble Distillation for Robust Model Fusion in Federated Learning
Ensemble Distillation for Robust Model Fusion in Federated Learning
Tao R. Lin
Lingjing Kong
Sebastian U. Stich
Martin Jaggi
FedML
106
1,051
0
12 Jun 2020
Adaptive Personalized Federated Learning
Adaptive Personalized Federated Learning
Yuyang Deng
Mohammad Mahdi Kamani
M. Mahdavi
FedML
316
559
0
30 Mar 2020
FedCoin: A Peer-to-Peer Payment System for Federated Learning
FedCoin: A Peer-to-Peer Payment System for Federated Learning
Yuan Liu
Shuai Sun
Zhengpeng Ai
Shuangfeng Zhang
Zelei Liu
Han Yu
FedML
79
115
0
26 Feb 2020
Three Approaches for Personalization with Applications to Federated
  Learning
Three Approaches for Personalization with Applications to Federated Learning
Yishay Mansour
M. Mohri
Jae Hun Ro
A. Suresh
FedML
135
579
0
25 Feb 2020
Federated Learning of a Mixture of Global and Local Models
Federated Learning of a Mixture of Global and Local Models
Filip Hanzely
Peter Richtárik
FedML
82
386
0
10 Feb 2020
Think Locally, Act Globally: Federated Learning with Local and Global
  Representations
Think Locally, Act Globally: Federated Learning with Local and Global Representations
Paul Pu Liang
Terrance Liu
Liu Ziyin
Nicholas B. Allen
Randy P. Auerbach
David Brent
Ruslan Salakhutdinov
Louis-Philippe Morency
FedML
117
564
0
06 Jan 2020
UNet++: Redesigning Skip Connections to Exploit Multiscale Features in
  Image Segmentation
UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation
Zongwei Zhou
M. R. Siddiquee
Nima Tajbakhsh
Jianming Liang
SSeg
122
2,650
0
11 Dec 2019
Federated Learning with Personalization Layers
Federated Learning with Personalization Layers
Manoj Ghuhan Arivazhagan
V. Aggarwal
Aaditya Kumar Singh
Sunav Choudhary
FedML
96
840
0
02 Dec 2019
FedMD: Heterogenous Federated Learning via Model Distillation
FedMD: Heterogenous Federated Learning via Model Distillation
Daliang Li
Junpu Wang
FedML
104
862
0
08 Oct 2019
Clustered Federated Learning: Model-Agnostic Distributed Multi-Task
  Optimization under Privacy Constraints
Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints
Felix Sattler
K. Müller
Wojciech Samek
FedML
161
1,008
0
04 Oct 2019
FedHealth: A Federated Transfer Learning Framework for Wearable
  Healthcare
FedHealth: A Federated Transfer Learning Framework for Wearable Healthcare
Yiqiang Chen
Jindong Wang
Chaohui Yu
Wen Gao
Xin Qin
FedML
80
721
0
22 Jul 2019
Privacy-Preserving Blockchain-Based Federated Learning for IoT Devices
Privacy-Preserving Blockchain-Based Federated Learning for IoT Devices
Yang Zhao
Jun Zhao
Linshan Jiang
Rui Tan
Dusit Niyato
Zengxiang Li
Lingjuan Lyu
Yingbo Liu
69
105
0
26 Jun 2019
BrainTorrent: A Peer-to-Peer Environment for Decentralized Federated
  Learning
BrainTorrent: A Peer-to-Peer Environment for Decentralized Federated Learning
Abhijit Guha Roy
Shayan Siddiqui
Sebastian Polsterl
Nassir Navab
Christian Wachinger
FedMLOODMedIm
72
309
0
16 May 2019
ResUNet-a: a deep learning framework for semantic segmentation of
  remotely sensed data
ResUNet-a: a deep learning framework for semantic segmentation of remotely sensed data
F. Diakogiannis
F. Waldner
P. Caccetta
Chen Wu
SSeg
140
1,331
0
01 Apr 2019
Federated Optimization in Heterogeneous Networks
Federated Optimization in Heterogeneous Networks
Tian Li
Anit Kumar Sahu
Manzil Zaheer
Maziar Sanjabi
Ameet Talwalkar
Virginia Smith
FedML
190
5,227
0
14 Dec 2018
ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture
  Design
ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design
Ningning Ma
Xiangyu Zhang
Haitao Zheng
Jian Sun
181
5,012
0
30 Jul 2018
An Empirical Evaluation of Generic Convolutional and Recurrent Networks
  for Sequence Modeling
An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling
Shaojie Bai
J. Zico Kolter
V. Koltun
DRL
97
4,851
0
04 Mar 2018
MobileNetV2: Inverted Residuals and Linear Bottlenecks
MobileNetV2: Inverted Residuals and Linear Bottlenecks
Mark Sandler
Andrew G. Howard
Menglong Zhu
A. Zhmoginov
Liang-Chieh Chen
209
19,335
0
13 Jan 2018
Squeeze-and-Excitation Networks
Squeeze-and-Excitation Networks
Jie Hu
Li Shen
Samuel Albanie
Gang Sun
Enhua Wu
427
26,568
0
05 Sep 2017
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Zhuowen Tu
Kaiming He
522
10,351
0
16 Nov 2016
Photo-Realistic Single Image Super-Resolution Using a Generative
  Adversarial Network
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
C. Ledig
Lucas Theis
Ferenc Huszár
Jose Caballero
Andrew Cunningham
...
Andrew P. Aitken
Alykhan Tejani
J. Totz
Zehan Wang
Wenzhe Shi
GAN
244
10,717
0
15 Sep 2016
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
PINN3DV
807
36,892
0
25 Aug 2016
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