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Privacy-preserving Federated Brain Tumour Segmentation

Privacy-preserving Federated Brain Tumour Segmentation

2 October 2019
Wenqi Li
Fausto Milletarì
Daguang Xu
Nicola Rieke
Jonny Hancox
Wentao Zhu
Maximilian Baust
Yan Cheng
Sébastien Ourselin
M. Jorge Cardoso
Andrew Feng
    FedML
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Papers citing "Privacy-preserving Federated Brain Tumour Segmentation"

50 / 60 papers shown
Title
Federated Learning for Cyber Physical Systems: A Comprehensive Survey
Federated Learning for Cyber Physical Systems: A Comprehensive Survey
Minh K. Quan
P. Pathirana
M. Wijayasundara
S. Setunge
Dinh C. Nguyen
Christopher G. Brinton
David J. Love
H. Vincent Poor
AI4CE
51
0
0
08 May 2025
Heavy-Tailed Privacy: The Symmetric alpha-Stable Privacy Mechanism
Heavy-Tailed Privacy: The Symmetric alpha-Stable Privacy Mechanism
Christopher Zawacki
Eyad H. Abed
39
1
0
25 Apr 2025
Differential Privacy-Driven Framework for Enhancing Heart Disease Prediction
Differential Privacy-Driven Framework for Enhancing Heart Disease Prediction
Yazan Otoum
Amiya Nayak
27
0
0
25 Apr 2025
Federated Self-Supervised Learning for One-Shot Cross-Modal and Cross-Imaging Technique Segmentation
Federated Self-Supervised Learning for One-Shot Cross-Modal and Cross-Imaging Technique Segmentation
Siladittya Manna
Suresh Das
Sayantari Ghosh
Saumik Bhattacharya
FedML
43
0
0
30 Mar 2025
Federated Learning with Label-Masking Distillation
Federated Learning with Label-Masking Distillation
Jianghu Lu
Shikun Li
Kexin Bao
Pengju Wang
Zhenxing Qian
Shiming Ge
FedML
37
10
0
20 Sep 2024
pFedGPA: Diffusion-based Generative Parameter Aggregation for Personalized Federated Learning
pFedGPA: Diffusion-based Generative Parameter Aggregation for Personalized Federated Learning
Jiahao Lai
J. Li
Jian Xu
Yanru Wu
Boshi Tang
Siqi Chen
Yongfeng Huang
Wenbo Ding
Yang Li
FedML
73
0
0
09 Sep 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
28
7
0
14 Oct 2023
Revolutionizing Wireless Networks with Federated Learning: A Comprehensive Review
Revolutionizing Wireless Networks with Federated Learning: A Comprehensive Review
Sajjad Emdadi Mahdimahalleh
AI4CE
28
0
0
01 Aug 2023
When Foundation Model Meets Federated Learning: Motivations, Challenges, and Future Directions
When Foundation Model Meets Federated Learning: Motivations, Challenges, and Future Directions
Weiming Zhuang
Chen Chen
Lingjuan Lyu
C. L. P. Chen
Yaochu Jin
Lingjuan Lyu
AIFin
AI4CE
90
85
0
27 Jun 2023
FCA: Taming Long-tailed Federated Medical Image Classification by
  Classifier Anchoring
FCA: Taming Long-tailed Federated Medical Image Classification by Classifier Anchoring
Jeffry Wicaksana
Zengqiang Yan
Kwang-Ting Cheng
FedML
29
5
0
01 May 2023
Deep Anatomical Federated Network (Dafne): An open client-server framework for the continuous, collaborative improvement of deep learning-based medical image segmentation
Deep Anatomical Federated Network (Dafne): An open client-server framework for the continuous, collaborative improvement of deep learning-based medical image segmentation
F. Santini
Jakob Wasserthal
Abramo Agosti
X. Deligianni
K. Keene
...
C. Weidensteiner
G. Manco
Matteo Paoletti
Valentina Mazzoli
Arjun D Desai
FedML
MedIm
14
9
0
13 Feb 2023
Private, fair and accurate: Training large-scale, privacy-preserving AI
  models in medical imaging
Private, fair and accurate: Training large-scale, privacy-preserving AI models in medical imaging
Soroosh Tayebi Arasteh
Alexander Ziller
Christiane Kuhl
Marcus R. Makowski
S. Nebelung
R. Braren
Daniel Rueckert
Daniel Truhn
Georgios Kaissis
MedIm
32
17
0
03 Feb 2023
Modeling Global Distribution for Federated Learning with Label
  Distribution Skew
Modeling Global Distribution for Federated Learning with Label Distribution Skew
Tao Sheng
Cheng Shen
Yuan Liu
Yeyu Ou
Zhe Qu
Jianxin Wang
FedML
22
7
0
17 Dec 2022
Federated Learning for Healthcare Domain - Pipeline, Applications and
  Challenges
Federated Learning for Healthcare Domain - Pipeline, Applications and Challenges
Madhura Joshi
Ankit Pal
Malaikannan Sankarasubbu
OOD
AI4CE
FedML
23
92
0
15 Nov 2022
More Generalized and Personalized Unsupervised Representation Learning
  In A Distributed System
More Generalized and Personalized Unsupervised Representation Learning In A Distributed System
Yue Yang
Jingwei Sun
Ang Li
H. Li
Yiran Chen
OOD
31
0
0
11 Nov 2022
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
15
27
0
16 Oct 2022
Sketching for First Order Method: Efficient Algorithm for Low-Bandwidth
  Channel and Vulnerability
Sketching for First Order Method: Efficient Algorithm for Low-Bandwidth Channel and Vulnerability
Zhao-quan Song
Yitan Wang
Zheng Yu
Licheng Zhang
FedML
23
28
0
15 Oct 2022
FedGraph: an Aggregation Method from Graph Perspective
FedGraph: an Aggregation Method from Graph Perspective
Zhifang Deng
Xiaohong Huang
Dandan Li
Xueguang Yuan
FedML
22
0
0
06 Oct 2022
Learning Across Domains and Devices: Style-Driven Source-Free Domain
  Adaptation in Clustered Federated Learning
Learning Across Domains and Devices: Style-Driven Source-Free Domain Adaptation in Clustered Federated Learning
Donald Shenaj
Eros Fani
Marco Toldo
Debora Caldarola
A. Tavera
Umberto Michieli
Marco Ciccone
Pietro Zanuttigh
Barbara Caputo
FedML
23
39
0
05 Oct 2022
Dordis: Efficient Federated Learning with Dropout-Resilient Differential
  Privacy
Dordis: Efficient Federated Learning with Dropout-Resilient Differential Privacy
Zhifeng Jiang
Wei Wang
Ruichuan Chen
38
6
0
26 Sep 2022
Orchestrating Collaborative Cybersecurity: A Secure Framework for
  Distributed Privacy-Preserving Threat Intelligence Sharing
Orchestrating Collaborative Cybersecurity: A Secure Framework for Distributed Privacy-Preserving Threat Intelligence Sharing
J. Troncoso-Pastoriza
Alain Mermoud
Romain Bouyé
Francesco Marino
Jean-Philippe Bossuat
Vincent Lenders
Jean-Pierre Hubaux
21
3
0
06 Sep 2022
Split-U-Net: Preventing Data Leakage in Split Learning for Collaborative
  Multi-Modal Brain Tumor Segmentation
Split-U-Net: Preventing Data Leakage in Split Learning for Collaborative Multi-Modal Brain Tumor Segmentation
H. Roth
Ali Hatamizadeh
Ziyue Xu
Can Zhao
Wenqi Li
Andriy Myronenko
Daguang Xu
FedML
37
9
0
22 Aug 2022
Byzantines can also Learn from History: Fall of Centered Clipping in
  Federated Learning
Byzantines can also Learn from History: Fall of Centered Clipping in Federated Learning
Kerem Ozfatura
Emre Ozfatura
Alptekin Kupcu
Deniz Gunduz
AAML
FedML
28
13
0
21 Aug 2022
Enhancing Heterogeneous Federated Learning with Knowledge Extraction and
  Multi-Model Fusion
Enhancing Heterogeneous Federated Learning with Knowledge Extraction and Multi-Model Fusion
Duy Phuong Nguyen
Sixing Yu
J. P. Muñoz
Ali Jannesari
FedML
19
12
0
16 Aug 2022
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
41
91
0
05 Aug 2022
One Model to Unite Them All: Personalized Federated Learning of
  Multi-Contrast MRI Synthesis
One Model to Unite Them All: Personalized Federated Learning of Multi-Contrast MRI Synthesis
Onat Dalmaz
Muhammad Usama Mirza
Gokberk Elmas
Muzaffer Özbey
S. Dar
Emir Ceyani
Salman Avestimehr
Tolga cCukur
MedIm
23
39
0
13 Jul 2022
Federated Offline Reinforcement Learning
Federated Offline Reinforcement Learning
D. Zhou
Yufeng Zhang
Aaron Sonabend-W
Zhaoran Wang
Junwei Lu
Tianxi Cai
OffRL
29
13
0
11 Jun 2022
Privacy accounting $\varepsilon$conomics: Improving differential privacy
  composition via a posteriori bounds
Privacy accounting ε\varepsilonεconomics: Improving differential privacy composition via a posteriori bounds
Valentin Hartmann
Vincent Bindschaedler
Alexander Bentkamp
Robert West
16
1
0
06 May 2022
FedMix: Mixed Supervised Federated Learning for Medical Image
  Segmentation
FedMix: Mixed Supervised Federated Learning for Medical Image Segmentation
Jeffry Wicaksana
Zengqiang Yan
Dong Zhang
Xijie Huang
Huimin Wu
Xin Yang
Kwang-Ting Cheng
FedML
27
49
0
04 May 2022
Analysing the Influence of Attack Configurations on the Reconstruction
  of Medical Images in Federated Learning
Analysing the Influence of Attack Configurations on the Reconstruction of Medical Images in Federated Learning
M. Dahlgaard
Morten Wehlast Jorgensen
N. Fuglsang
Hiba Nassar
FedML
AAML
28
2
0
25 Apr 2022
Multi-Task Distributed Learning using Vision Transformer with Random
  Patch Permutation
Multi-Task Distributed Learning using Vision Transformer with Random Patch Permutation
Sangjoon Park
Jong Chul Ye
FedML
MedIm
39
19
0
07 Apr 2022
Federated Learning for Privacy Preservation in Smart Healthcare Systems:
  A Comprehensive Survey
Federated Learning for Privacy Preservation in Smart Healthcare Systems: A Comprehensive Survey
Mansoor Ali
F. Naeem
M. Tariq
Georges Kaddoum
24
119
0
18 Mar 2022
FedDrive: Generalizing Federated Learning to Semantic Segmentation in
  Autonomous Driving
FedDrive: Generalizing Federated Learning to Semantic Segmentation in Autonomous Driving
Lidia Fantauzzo
Eros Fani
Debora Caldarola
A. Tavera
Fabio Cermelli
Marco Ciccone
Barbara Caputo
FedML
21
52
0
28 Feb 2022
Evaluation and Analysis of Different Aggregation and Hyperparameter
  Selection Methods for Federated Brain Tumor Segmentation
Evaluation and Analysis of Different Aggregation and Hyperparameter Selection Methods for Federated Brain Tumor Segmentation
Ece Isik Polat
Gorkem Polat
Altan Koçyiğit
A. Temi̇zel
OOD
FedML
22
3
0
16 Feb 2022
Federated Learning with Heterogeneous Architectures using Graph
  HyperNetworks
Federated Learning with Heterogeneous Architectures using Graph HyperNetworks
Or Litany
Haggai Maron
David Acuna
Jan Kautz
Gal Chechik
Sanja Fidler
FedML
28
24
0
20 Jan 2022
Cross-Domain Federated Learning in Medical Imaging
Cross-Domain Federated Learning in Medical Imaging
V. Parekh
Shuhao Lai
Vladimir Braverman
Jeff Leal
S. Rowe
J. Pillai
M. Jacobs
OOD
FedML
19
29
0
18 Dec 2021
Specificity-Preserving Federated Learning for MR Image Reconstruction
Specificity-Preserving Federated Learning for MR Image Reconstruction
Chun-Mei Feng
Yu-bao Yan
Shanshan Wang
Yong Xu
Ling Shao
H. Fu
OOD
24
78
0
09 Dec 2021
On Convergence of Federated Averaging Langevin Dynamics
On Convergence of Federated Averaging Langevin Dynamics
Wei Deng
Qian Zhang
Yi-An Ma
Zhao-quan Song
Guang Lin
FedML
22
16
0
09 Dec 2021
FedDropoutAvg: Generalizable federated learning for histopathology image
  classification
FedDropoutAvg: Generalizable federated learning for histopathology image classification
G. N. Gunesli
M. Bilal
S. Raza
Nasir M. Rajpoot
FedML
OOD
9
20
0
25 Nov 2021
Resource-Efficient Federated Learning
Resource-Efficient Federated Learning
A. Abdelmoniem
Atal Narayan Sahu
Marco Canini
Suhaib A. Fahmy
FedML
25
52
0
01 Nov 2021
Federated Contrastive Learning for Decentralized Unlabeled Medical
  Images
Federated Contrastive Learning for Decentralized Unlabeled Medical Images
Nanqing Dong
Irina Voiculescu
FedML
11
62
0
15 Sep 2021
Multi-task Federated Learning for Heterogeneous Pancreas Segmentation
Multi-task Federated Learning for Heterogeneous Pancreas Segmentation
Chen Shen
Pochuan Wang
H. Roth
Dong Yang
Daguang Xu
...
C. Fuh
Po-Ting Chen
Kao-Lang Liu
W. Liao
K. Mori
FedML
14
41
0
19 Aug 2021
Challenges for machine learning in clinical translation of big data
  imaging studies
Challenges for machine learning in clinical translation of big data imaging studies
Nicola K. Dinsdale
Emma Bluemke
V. Sundaresan
M. Jenkinson
Stephen Smith
Ana I. L. Namburete
AI4CE
32
41
0
07 Jul 2021
Federated Learning for Multi-Center Imaging Diagnostics: A Study in
  Cardiovascular Disease
Federated Learning for Multi-Center Imaging Diagnostics: A Study in Cardiovascular Disease
Akis Linardos
Kaisar Kushibar
S. Walsh
P. Gkontra
Karim Lekadir
FedML
25
62
0
07 Jul 2021
Federated Semi-supervised Medical Image Classification via Inter-client
  Relation Matching
Federated Semi-supervised Medical Image Classification via Inter-client Relation Matching
Quande Liu
Hongzhen Yang
Qi Dou
Pheng-Ann Heng
FedML
22
76
0
16 Jun 2021
EasyFL: A Low-code Federated Learning Platform For Dummies
EasyFL: A Low-code Federated Learning Platform For Dummies
Weiming Zhuang
Xin Gan
Yonggang Wen
Shuai Zhang
FedML
19
46
0
17 May 2021
Privacy-Preserving Constrained Domain Generalization via Gradient
  Alignment
Privacy-Preserving Constrained Domain Generalization via Gradient Alignment
Chris Xing Tian
Haoliang Li
Yufei Wang
Shiqi Wang
13
4
0
14 May 2021
FL-NTK: A Neural Tangent Kernel-based Framework for Federated Learning
  Convergence Analysis
FL-NTK: A Neural Tangent Kernel-based Framework for Federated Learning Convergence Analysis
Baihe Huang
Xiaoxiao Li
Zhao-quan Song
Xin Yang
FedML
23
16
0
11 May 2021
Membership Inference Attacks on Deep Regression Models for Neuroimaging
Membership Inference Attacks on Deep Regression Models for Neuroimaging
Umang Gupta
Dmitris Stripelis
Pradeep Lam
Paul M. Thompson
J. Ambite
Greg Ver Steeg
MIACV
FedML
16
32
0
06 May 2021
FedDPGAN: Federated Differentially Private Generative Adversarial
  Networks Framework for the Detection of COVID-19 Pneumonia
FedDPGAN: Federated Differentially Private Generative Adversarial Networks Framework for the Detection of COVID-19 Pneumonia
Longling Zhang
Bochen Shen
A. Barnawi
Shan Xi
Neeraj Kumar
Yi Wu
FedML
MedIm
71
80
0
26 Apr 2021
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