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Non-parametric regularization for class imbalance federated medical
  image classification

Non-parametric regularization for class imbalance federated medical image classification

17 July 2024
Jeffry Wicaksana
Zengqiang Yan
Kwang-Ting Cheng
    FedML
ArXiv (abs)PDFHTML

Papers citing "Non-parametric regularization for class imbalance federated medical image classification"

36 / 36 papers shown
Title
FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in
  Realistic Healthcare Settings
FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings
Jean Ogier du Terrail
Samy Ayed
Edwige Cyffers
Felix Grimberg
Chaoyang He
...
Sai Praneeth Karimireddy
Marco Lorenzi
Giovanni Neglia
Marc Tommasi
M. Andreux
FedML
98
157
0
10 Oct 2022
Federated Learning with Label Distribution Skew via Logits Calibration
Federated Learning with Label Distribution Skew via Logits Calibration
Jie M. Zhang
Zhiqi Li
Yue Liu
Jianghe Xu
Shuang Wu
Shouhong Ding
Chao Wu
FedML
86
146
0
01 Sep 2022
Rethinking Semantic Segmentation: A Prototype View
Rethinking Semantic Segmentation: A Prototype View
Tianfei Zhou
Wenguan Wang
E. Konukoglu
Luc Van Gool
SSeg
106
274
0
28 Mar 2022
Federated Contrastive Learning for Decentralized Unlabeled Medical
  Images
Federated Contrastive Learning for Decentralized Unlabeled Medical Images
Nanqing Dong
Irina Voiculescu
FedML
52
62
0
15 Sep 2021
Parametric Contrastive Learning
Parametric Contrastive Learning
Jiequan Cui
Zhisheng Zhong
Shu Liu
Bei Yu
Jiaya Jia
89
281
0
26 Jul 2021
Self-Supervised Aggregation of Diverse Experts for Test-Agnostic
  Long-Tailed Recognition
Self-Supervised Aggregation of Diverse Experts for Test-Agnostic Long-Tailed Recognition
Yifan Zhang
Bryan Hooi
Lanqing Hong
Jiashi Feng
76
130
0
20 Jul 2021
No Fear of Heterogeneity: Classifier Calibration for Federated Learning
  with Non-IID Data
No Fear of Heterogeneity: Classifier Calibration for Federated Learning with Non-IID Data
Mi Luo
Fei Chen
Dapeng Hu
Yifan Zhang
Jian Liang
Jiashi Feng
FedML
86
342
0
09 Jun 2021
Towards Understanding Knowledge Distillation
Towards Understanding Knowledge Distillation
Mary Phuong
Christoph H. Lampert
67
322
0
27 May 2021
Every Annotation Counts: Multi-label Deep Supervision for Medical Image
  Segmentation
Every Annotation Counts: Multi-label Deep Supervision for Medical Image Segmentation
Simon Reiß
C. Seibold
Alexander Freytag
E. Rodner
Rainer Stiefelhagen
123
62
0
27 Apr 2021
Model-Contrastive Federated Learning
Model-Contrastive Federated Learning
Qinbin Li
Bingsheng He
Basel Alomair
FedML
97
1,046
0
30 Mar 2021
Multi-institutional Collaborations for Improving Deep Learning-based
  Magnetic Resonance Image Reconstruction Using Federated Learning
Multi-institutional Collaborations for Improving Deep Learning-based Magnetic Resonance Image Reconstruction Using Federated Learning
Pengfei Guo
Puyang Wang
Jinyuan Zhou
Shanshan Jiang
Vishal M. Patel
FedMLOOD
94
144
0
03 Mar 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
OODFedML
278
822
0
15 Feb 2021
Federated Learning on Non-IID Data Silos: An Experimental Study
Federated Learning on Non-IID Data Silos: An Experimental Study
Yue Liu
Yiqun Diao
Quan Chen
Bingsheng He
FedMLOOD
151
988
0
03 Feb 2021
Single Model Deep Learning on Imbalanced Small Datasets for Skin Lesion
  Classification
Single Model Deep Learning on Imbalanced Small Datasets for Skin Lesion Classification
Peng Yao
Shuwei Shen
Mengjuan Xu
Peng Liu
Fan Zhang
Jinyu Xing
Pengfei Shao
B. Kaffenberger
Ronald X. Xu
56
120
0
02 Feb 2021
Federated Learning for Computational Pathology on Gigapixel Whole Slide
  Images
Federated Learning for Computational Pathology on Gigapixel Whole Slide Images
Ming Y. Lu
Dehan Kong
Jana Lipkova
Richard J. Chen
Rajendra Singh
Drew F. K. Williamson
Tiffany Y. Chen
Faisal Mahmood
FedMLMedIm
102
177
0
21 Sep 2020
Attribute Prototype Network for Zero-Shot Learning
Attribute Prototype Network for Zero-Shot Learning
Wenjia Xu
Yongqin Xian
Jiuniu Wang
Bernt Schiele
Zeynep Akata
55
293
0
19 Aug 2020
Balanced Meta-Softmax for Long-Tailed Visual Recognition
Balanced Meta-Softmax for Long-Tailed Visual Recognition
Jiawei Ren
Cunjun Yu
Shunan Sheng
Xiao Ma
Haiyu Zhao
Shuai Yi
Hongsheng Li
204
572
0
21 Jul 2020
Robust Federated Learning: The Case of Affine Distribution Shifts
Robust Federated Learning: The Case of Affine Distribution Shifts
Amirhossein Reisizadeh
Farzan Farnia
Ramtin Pedarsani
Ali Jadbabaie
FedMLOOD
88
166
0
16 Jun 2020
Federated Transfer Learning for EEG Signal Classification
Federated Transfer Learning for EEG Signal Classification
Ce Ju
Dashan Gao
R. Mane
Ben Tan
Yang Liu
Cuntai Guan
FedML
52
107
0
26 Apr 2020
Rethinking Class-Balanced Methods for Long-Tailed Visual Recognition
  from a Domain Adaptation Perspective
Rethinking Class-Balanced Methods for Long-Tailed Visual Recognition from a Domain Adaptation Perspective
Muhammad Abdullah Jamal
Matthew A. Brown
Ming-Hsuan Yang
Liqiang Wang
Boqing Gong
100
266
0
24 Mar 2020
FixMatch: Simplifying Semi-Supervised Learning with Consistency and
  Confidence
FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence
Kihyuk Sohn
David Berthelot
Chun-Liang Li
Zizhao Zhang
Nicholas Carlini
E. D. Cubuk
Alexey Kurakin
Han Zhang
Colin Raffel
AAML
160
3,572
0
21 Jan 2020
Multi-site fMRI Analysis Using Privacy-preserving Federated Learning and
  Domain Adaptation: ABIDE Results
Multi-site fMRI Analysis Using Privacy-preserving Federated Learning and Domain Adaptation: ABIDE Results
Xiaoxiao Li
Yufeng Gu
Nicha Dvornek
Lawrence H. Staib
P. Ventola
James S. Duncan
FedMLOOD
76
354
0
16 Jan 2020
Advances and Open Problems in Federated Learning
Advances and Open Problems in Federated Learning
Peter Kairouz
H. B. McMahan
Brendan Avent
A. Bellet
M. Bennis
...
Zheng Xu
Qiang Yang
Felix X. Yu
Han Yu
Sen Zhao
FedMLAI4CE
259
6,276
0
10 Dec 2019
BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed
  Visual Recognition
BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition
Boyan Zhou
Quan Cui
Xiu-Shen Wei
Zhao-Min Chen
291
802
0
05 Dec 2019
Self-labelling via simultaneous clustering and representation learning
Self-labelling via simultaneous clustering and representation learning
Yuki M. Asano
Christian Rupprecht
Andrea Vedaldi
SSL
123
777
0
13 Nov 2019
Decoupling Representation and Classifier for Long-Tailed Recognition
Decoupling Representation and Classifier for Long-Tailed Recognition
Bingyi Kang
Saining Xie
Marcus Rohrbach
Zhicheng Yan
Albert Gordo
Jiashi Feng
Yannis Kalantidis
OODD
180
1,221
0
21 Oct 2019
FedMD: Heterogenous Federated Learning via Model Distillation
FedMD: Heterogenous Federated Learning via Model Distillation
Daliang Li
Junpu Wang
FedML
98
862
0
08 Oct 2019
BCN20000: Dermoscopic Lesions in the Wild
BCN20000: Dermoscopic Lesions in the Wild
Marc Combalia
Noel Codella
V. Rotemberg
Brian Helba
Verónica Vilaplana
...
Cristina Carrera
Alicia Barreiro
Allan Halpern
S. Puig
J. Malvehy
66
446
0
06 Aug 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
77
721
0
22 Jul 2019
Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss
Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss
Kaidi Cao
Colin Wei
Adrien Gaidon
Nikos Arechiga
Tengyu Ma
127
1,607
0
18 Jun 2019
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
Mingxing Tan
Quoc V. Le
3DVMedIm
144
18,168
0
28 May 2019
Skin Lesion Analysis Toward Melanoma Detection: A Challenge at the 2017
  International Symposium on Biomedical Imaging (ISBI), Hosted by the
  International Skin Imaging Collaboration (ISIC)
Skin Lesion Analysis Toward Melanoma Detection: A Challenge at the 2017 International Symposium on Biomedical Imaging (ISBI), Hosted by the International Skin Imaging Collaboration (ISIC)
Noel Codella
D. Gutman
M. E. Celebi
Brian Helba
Michael Marchetti
...
Aadi Kalloo
Konstantinos Liopyris
N. Mishra
Harald Kittler
Allan Halpern
94
2,081
0
13 Oct 2017
Prototypical Networks for Few-shot Learning
Prototypical Networks for Few-shot Learning
Jake C. Snell
Kevin Swersky
R. Zemel
303
8,150
0
15 Mar 2017
Communication-Efficient Learning of Deep Networks from Decentralized
  Data
Communication-Efficient Learning of Deep Networks from Decentralized Data
H. B. McMahan
Eider Moore
Daniel Ramage
S. Hampson
Blaise Agüera y Arcas
FedML
406
17,559
0
17 Feb 2016
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.0K
150,312
0
22 Dec 2014
Sinkhorn Distances: Lightspeed Computation of Optimal Transportation
  Distances
Sinkhorn Distances: Lightspeed Computation of Optimal Transportation Distances
Marco Cuturi
OT
218
4,288
0
04 Jun 2013
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