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1910.00962
Cited By
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 / 193 papers shown
Revolutionizing Wireless Networks with Federated Learning: A Comprehensive Review
European Journal of Electrical Engineering and Computer Science (EJECE), 2023
Sajjad Emdadi Mahdimahalleh
AI4CE
263
6
0
01 Aug 2023
MAS: Towards Resource-Efficient Federated Multiple-Task Learning
IEEE International Conference on Computer Vision (ICCV), 2023
Weiming Zhuang
Yonggang Wen
Lingjuan Lyu
Shuai Zhang
FedML
187
22
0
21 Jul 2023
Combating Data Imbalances in Federated Semi-supervised Learning with Dual Regulators
AAAI Conference on Artificial Intelligence (AAAI), 2023
Sikai Bai
Shuaicheng Li
Weiming Zhuang
Jie Zhang
Song Guo
Kunlin Yang
Jun Hou
Shuai Zhang
Junyu Gao
Shuai Yi
FedML
300
15
0
11 Jul 2023
Towards Open Federated Learning Platforms: Survey and Vision from Technical and Legal Perspectives
Moming Duan
Qinbin Li
Linshan Jiang
Bingsheng He
FedML
431
5
0
05 Jul 2023
Transformers in Healthcare: A Survey
Subhash Nerella
S. Bandyopadhyay
Jiaqing Zhang
Miguel Contreras
Scott Siegel
...
Jessica Sena
B. Shickel
A. Bihorac
Kia Khezeli
Parisa Rashidi
MedIm
AI4CE
261
86
0
30 Jun 2023
When Foundation Model Meets Federated Learning: Motivations, Challenges, and Future Directions
Weiming Zhuang
Chen Chen
Lingjuan Lyu
Chong Chen
Yaochu Jin
Lingjuan Lyu
AIFin
AI4CE
678
123
0
27 Jun 2023
Federated Learning for Medical Image Analysis: A Survey
Pattern Recognition (Pattern Recogn.), 2023
Hao Guan
Pew-Thian Yap
Andrea Bozoki
Mingxia Liu
FedML
OOD
504
272
0
09 Jun 2023
FedWon: Triumphing Multi-domain Federated Learning Without Normalization
International Conference on Learning Representations (ICLR), 2023
Weiming Zhuang
Lingjuan Lyu
224
12
0
09 Jun 2023
FCA: Taming Long-tailed Federated Medical Image Classification by Classifier Anchoring
Jeffry Wicaksana
Zengqiang Yan
Kwang-Ting Cheng
FedML
259
5
0
01 May 2023
Client Recruitment for Federated Learning in ICU Length of Stay Prediction
IEEE International Conference on e-Science (e-Science), 2023
Vincent Scheltjens
Lyse Naomi Wamba Momo
Wouter Verbeke
B. De Moor
OOD
FedML
124
2
0
28 Apr 2023
Unifying and Personalizing Weakly-supervised Federated Medical Image Segmentation via Adaptive Representation and Aggregation
Li Lin
Jiewei Wu
Yixiang Liu
Kenneth K. Y. Wong
Xiaoying Tang
FedML
181
8
0
12 Apr 2023
Federated Incremental Semantic Segmentation
Computer Vision and Pattern Recognition (CVPR), 2023
Jiahua Dong
Duzhen Zhang
Yang Cong
Wei Cong
Henghui Ding
Dengxin Dai
FedML
227
57
0
10 Apr 2023
A Generalized Look at Federated Learning: Survey and Perspectives
Taki Hasan Rafi
Faiza Anan Noor
Tahmid Hussain
Dong-Kyu Chae
Zhaohui Yang
OOD
FedML
167
1
0
26 Mar 2023
Welfare and Fairness Dynamics in Federated Learning: A Client Selection Perspective
Statistics and its Interface (SII), 2023
Yash Travadi
Le Peng
Xuan Bi
Ju Sun
Mochen Yang
FedML
154
4
0
17 Feb 2023
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
472
11
0
13 Feb 2023
Privacy Against Agnostic Inference Attacks in Vertical Federated Learning
Morteza Varasteh
FedML
AAML
98
1
0
10 Feb 2023
Exploratory Analysis of Federated Learning Methods with Differential Privacy on MIMIC-III
Aron N. Horvath
Matteo Berchier
Farhad Nooralahzadeh
Ahmed Allam
Michael Krauthammer
FedML
188
4
0
08 Feb 2023
Private, fair and accurate: Training large-scale, privacy-preserving AI models in medical imaging
Communications Medicine (Commun Med), 2023
Soroosh Tayebi Arasteh
Alexander Ziller
Christiane Kuhl
Marcus R. Makowski
S. Nebelung
R. Braren
Daniel Rueckert
Daniel Truhn
Georgios Kaissis
MedIm
508
32
0
03 Feb 2023
Regularized Weight Aggregation in Networked Federated Learning for Glioblastoma Segmentation
Muhammad Irfan Khan
Mohammad Ayyaz Azeem
E. Alhoniemi
Elina Kontio
Suleiman A. Khan
Mojtaba Jafaritadi
FedML
172
6
0
30 Jan 2023
Federated Learning -- Methods, Applications and beyond
The European Symposium on Artificial Neural Networks (ESANN), 2022
Moritz Heusinger
Christoph Raab
Fabrice Rossi
Frank-Michael Schleif
FedML
OOD
126
5
0
22 Dec 2022
Modeling Global Distribution for Federated Learning with Label Distribution Skew
Social Science Research Network (SSRN), 2022
Tao Sheng
Cheng Shen
Yuan Liu
Yeyu Ou
Zhe Qu
Jianxin Wang
FedML
169
8
0
17 Dec 2022
Federated Learning for Healthcare Domain - Pipeline, Applications and Challenges
Madhura Joshi
Ankit Pal
Malaikannan Sankarasubbu
OOD
AI4CE
FedML
352
140
0
15 Nov 2022
Auxo: Efficient Federated Learning via Scalable Client Clustering
ACM Symposium on Cloud Computing (SoCC), 2022
Jiachen Liu
Fan Lai
Yinwei Dai
Aditya Akella
H. Madhyastha
Mosharaf Chowdhury
348
13
0
29 Oct 2022
NVIDIA FLARE: Federated Learning from Simulation to Real-World
IEEE Data Engineering Bulletin (DEB), 2022
H. Roth
Yan Cheng
Yuhong Wen
Isaac Yang
Ziyue Xu
...
Daguang Xu
Nic Ma
Prerna Dogra
Mona G. Flores
Andrew Feng
FedML
AI4CE
307
139
0
24 Oct 2022
Federated Learning with Privacy-Preserving Ensemble Attention Distillation
IEEE Transactions on Medical Imaging (IEEE TMI), 2022
Xuan Gong
Liangchen Song
Rishi Vedula
Abhishek Sharma
Meng Zheng
...
Arun Innanje
Terrence Chen
Junsong Yuan
David Doermann
Ziyan Wu
FedML
243
36
0
16 Oct 2022
Sketching for First Order Method: Efficient Algorithm for Low-Bandwidth Channel and Vulnerability
International Conference on Machine Learning (ICML), 2022
Zhao Song
Yitan Wang
Zheng Yu
Licheng Zhang
FedML
278
31
0
15 Oct 2022
FedGraph: an Aggregation Method from Graph Perspective
Zhifang Deng
Xiaohong Huang
Dandan Li
Xueguang Yuan
FedML
165
0
0
06 Oct 2022
Learning Across Domains and Devices: Style-Driven Source-Free Domain Adaptation in Clustered Federated Learning
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022
Donald Shenaj
Eros Fani
Marco Toldo
Debora Caldarola
A. Tavera
Umberto Michieli
Marco Ciccone
Pietro Zanuttigh
Barbara Caputo
FedML
212
45
0
05 Oct 2022
Dordis: Efficient Federated Learning with Dropout-Resilient Differential Privacy
European Conference on Computer Systems (EuroSys), 2022
Zhifeng Jiang
Wei Wang
Ruichuan Chen
338
16
0
26 Sep 2022
Preserving Privacy in Federated Learning with Ensemble Cross-Domain Knowledge Distillation
AAAI Conference on Artificial Intelligence (AAAI), 2022
Xuan Gong
Abhishek Sharma
Srikrishna Karanam
Ziyan Wu
Terrence Chen
David Doermann
Arun Innanje
FedML
185
98
0
10 Sep 2022
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
157
4
0
06 Sep 2022
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
195
11
0
22 Aug 2022
Byzantines can also Learn from History: Fall of Centered Clipping in Federated Learning
IEEE Transactions on Information Forensics and Security (IEEE TIFS), 2022
Kerem Ozfatura
Emre Ozfatura
Alptekin Kupcu
Deniz Gunduz
AAML
FedML
274
21
0
21 Aug 2022
Enhancing Heterogeneous Federated Learning with Knowledge Extraction and Multi-Model Fusion
Duy Phuong Nguyen
Sixing Yu
J. P. Muñoz
Ali Jannesari
FedML
213
16
0
16 Aug 2022
Federated Learning for Medical Applications: A Taxonomy, Current Trends, Challenges, and Future Research Directions
IEEE Internet of Things Journal (IEEE IoT J.), 2022
A. Rauniyar
D. Hagos
Debesh Jha
J. E. Haakegaard
Ulas Bagci
D. Rawat
Vladimir Vlassov
OOD
365
173
0
05 Aug 2022
Privacy-Preserving Federated Recurrent Neural Networks
Proceedings on Privacy Enhancing Technologies (PoPETs), 2022
Sinem Sav
Abdulrahman Diaa
Apostolos Pyrgelis
Jean-Philippe Bossuat
Jean-Pierre Hubaux
FedML
249
10
0
28 Jul 2022
Privacy Against Inference Attacks in Vertical Federated Learning
Borzoo Rassouli
Morteza Varasteh
Deniz Gunduz
AAML
FedML
231
4
0
24 Jul 2022
Study of the performance and scalability of federated learning for medical imaging with intermittent clients
Neurocomputing (Neurocomputing), 2022
Judith Sáinz-Pardo Díaz
Á. García
FedML
OOD
183
56
0
18 Jul 2022
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
371
54
0
13 Jul 2022
Personalizing Federated Medical Image Segmentation via Local Calibration
European Conference on Computer Vision (ECCV), 2022
Jiacheng Wang
Yueming Jin
Liansheng Wang
FedML
275
49
0
11 Jul 2022
Smart Multi-tenant Federated Learning
Weiming Zhuang
Yonggang Wen
Shuai Zhang
FedML
253
2
0
09 Jul 2022
FedER: Federated Learning through Experience Replay and Privacy-Preserving Data Synthesis
Computer Vision and Image Understanding (CVIU), 2022
M. Pennisi
Federica Proietto Salanitri
Giovanni Bellitto
Bruno Casella
Marco Aldinucci
S. Palazzo
C. Spampinato
OOD
197
14
0
20 Jun 2022
Pisces: Efficient Federated Learning via Guided Asynchronous Training
ACM Symposium on Cloud Computing (SoCC), 2022
Zhifeng Jiang
Wei Wang
Baochun Li
Yue Liu
FedML
166
30
0
18 Jun 2022
Federated Offline Reinforcement Learning
Journal of the American Statistical Association (JASA), 2022
D. Zhou
Yufeng Zhang
Aaron Sonabend-W
Zhaoran Wang
Junwei Lu
Tianxi Cai
OffRL
349
18
0
11 Jun 2022
DPSNN: A Differentially Private Spiking Neural Network with Temporal Enhanced Pooling
Jihang Wang
Dongcheng Zhao
Guobin Shen
Qian Zhang
Yingda Zeng
235
2
0
24 May 2022
FedNorm: Modality-Based Normalization in Federated Learning for Multi-Modal Liver Segmentation
Tobias Bernecker
Annette Peters
C. Schlett
F. Bamberg
Fabian J. Theis
Daniel Rueckert
J. Weiss
Shadi Albarqouni
FedML
MedIm
263
23
0
23 May 2022
Federated learning for violence incident prediction in a simulated cross-institutional psychiatric setting
Expert systems with applications (ESWA), 2022
Thomas Borger
P. Mosteiro
Heysem Kaya
Emil Rijcken
A. A. Salah
Floortje E. Scheepers
Marco Spruit
FedML
210
25
0
17 May 2022
Privacy accounting
ε
\varepsilon
ε
conomics: Improving differential privacy composition via a posteriori bounds
Proceedings on Privacy Enhancing Technologies (PoPETs), 2022
Valentin Hartmann
Vincent Bindschaedler
Alexander Bentkamp
Robert West
185
1
0
06 May 2022
Defending against Reconstruction Attacks through Differentially Private Federated Learning for Classification of Heterogeneous Chest X-Ray Data
Italian National Conference on Sensors (INS), 2022
Joceline Ziegler
Bjarne Pfitzner
H. Schulz
A. Saalbach
B. Arnrich
FedML
163
20
0
06 May 2022
FedMix: Mixed Supervised Federated Learning for Medical Image Segmentation
IEEE Transactions on Medical Imaging (IEEE TMI), 2022
Jeffry Wicaksana
Zengqiang Yan
Dong Zhang
Xijie Huang
Huimin Wu
Xin Yang
Kwang-Ting Cheng
FedML
154
81
0
04 May 2022
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