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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
Data Efficient Any Transformer-to-Mamba Distillation via Attention Bridge
Penghao Wang
Yuhao Zhou
Mengxuan Wu
Panpan Zhang
Zhangyang Wang
Kai Wang
Mamba
302
0
0
22 Oct 2025
Spatio-Temporal Representation Decoupling and Enhancement for Federated Instrument Segmentation in Surgical Videos
Zheng Fang
Xiaoming Qi
Chun-Mei Feng
Jialun Pei
Weixin Si
Yueming Jin
FedML
234
1
0
30 Jun 2025
A Privacy-Preserving Federated Learning Framework for Generalizable CBCT to Synthetic CT Translation in Head and Neck
Ciro Benito Raggio
P. Zaffino
M. Spadea
MedIm
174
1
0
10 Jun 2025
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
280
19
0
08 May 2025
Heavy-Tailed Privacy: The Symmetric alpha-Stable Privacy Mechanism
Christopher Zawacki
Eyad H. Abed
231
2
0
25 Apr 2025
Differential Privacy-Driven Framework for Enhancing Heart Disease Prediction
Yazan Otoum
Amiya Nayak
177
4
0
25 Apr 2025
FHBench: Towards Efficient and Personalized Federated Learning for Multimodal Healthcare
Penghao Wang
Qian Chen
Teng Zhang
Yu Zhang
Wang Lu
Yiqiang Chen
294
1
0
15 Apr 2025
Personalized Federated Training of Diffusion Models with Privacy Guarantees
Kumar Kshitij Patel
Weitong Zhang
Lingxiao Wang
MedIm
305
1
0
01 Apr 2025
FedCAPrivacy: Privacy-Preserving Heterogeneous Federated Learning with Anonymous Adaptive Clustering
Yunan Wei
Shengnan Zhao
Chuan Zhao
Zhe Liu
Zhenxiang Chen
Minghao Zhao
FedML
213
1
0
30 Mar 2025
Federated Self-Supervised Learning for One-Shot Cross-Modal and Cross-Imaging Technique Segmentation
Siladittya Manna
Suresh Das
Sayantari Ghosh
Saumik Bhattacharya
FedML
218
2
0
30 Mar 2025
Towards Privacy-Preserving Medical Imaging: Federated Learning with Differential Privacy and Secure Aggregation Using a Modified ResNet Architecture
Mohamad Haj Fares
Ahmed Mohamed Saad Emam Saad
OOD
MedIm
270
9
0
01 Dec 2024
Federated Black-Box Adaptation for Semantic Segmentation
Neural Information Processing Systems (NeurIPS), 2024
Jay N. Paranjape
S. Sikder
S. Vedula
Vishal M. Patel
FedML
258
1
0
31 Oct 2024
Federated scientific machine learning for approximating functions and solving differential equations with data heterogeneity
Handi Zhang
Langchen Liu
Lu Lu
FedML
227
8
0
17 Oct 2024
Federated brain tumor segmentation: an extensive benchmark
Matthis Manthe
Stefan Duffner
Carole Lartizien
OOD
FedML
274
12
0
07 Oct 2024
Investigating Privacy Attacks in the Gray-Box Setting to Enhance Collaborative Learning Schemes
Federico Mazzone
Ahmad Al Badawi
Y. Polyakov
Maarten Everts
Florian Hahn
Andreas Peter
MIACV
AAML
312
0
0
25 Sep 2024
FeDETR: a Federated Approach for Stenosis Detection in Coronary Angiography
Raffaele Mineo
Amelia Sorrenti
Federica Proietto Salanitri
MedIm
123
1
0
21 Sep 2024
Federated Learning with Label-Masking Distillation
ACM Multimedia (MM), 2023
Jianghu Lu
Shikun Li
Kexin Bao
Pengju Wang
Zhenxing Qian
Shiming Ge
FedML
235
23
0
20 Sep 2024
pFedGPA: Diffusion-based Generative Parameter Aggregation for Personalized Federated Learning
AAAI Conference on Artificial Intelligence (AAAI), 2024
Jiahao Lai
Jiaqiang Li
Jian Xu
Yanru Wu
Boshi Tang
Siqi Chen
Yongfeng Huang
Wenbo Ding
Yang Li
FedML
376
1
0
09 Sep 2024
FedGS: Federated Gradient Scaling for Heterogeneous Medical Image Segmentation
Philip Schutte
V. Corbetta
Regina Beets-Tan
Wilson Silva
FedML
196
1
0
21 Aug 2024
Personalizing Federated Instrument Segmentation with Visual Trait Priors in Robotic Surgery
IEEE Transactions on Biomedical Engineering (IEEE TBME), 2024
Jialang Xu
Jiacheng Wang
Lequan Yu
Danail Stoyanov
Yueming Jin
E. Mazomenos
316
4
0
06 Aug 2024
Non-parametric regularization for class imbalance federated medical image classification
Jeffry Wicaksana
Zengqiang Yan
Kwang-Ting Cheng
FedML
212
1
0
17 Jul 2024
CURE: Privacy-Preserving Split Learning Done Right
Halil Ibrahim Kanpak
Aqsa Shabbir
Esra Genç
Alptekin Küpçü
Sinem Sav
218
3
0
12 Jul 2024
Privacy-Preserving and Trustworthy Deep Learning for Medical Imaging
Kiarash Sedghighadikolaei
Attila A Yavuz
275
7
0
29 Jun 2024
Privacy Preserving Federated Learning in Medical Imaging with Uncertainty Estimation
Nikolas Koutsoubis
Yasin Yilmaz
Ravi P. Ramachandran
M. Schabath
Ghulam Rasool
251
15
0
18 Jun 2024
Feasibility of Federated Learning from Client Databases with Different Brain Diseases and MRI Modalities
Felix Wagner
Wentian Xu
Pramit Saha
Ziyun Liang
Daniel Whitehouse
David Menon
Virginia Newcombe
Natalie Voets
J. A. Noble
Konstantinos Kamnitsas
323
5
0
17 Jun 2024
Linkage on Security, Privacy and Fairness in Federated Learning: New Balances and New Perspectives
Linlin Wang
Tianqing Zhu
Wanlei Zhou
Philip S. Yu
235
3
0
16 Jun 2024
Knowledge Distillation in Federated Learning: a Survey on Long Lasting Challenges and New Solutions
Laiqiao Qin
Tianqing Zhu
Wanlei Zhou
Philip S. Yu
229
17
0
16 Jun 2024
Federated Learning in Healthcare: Model Misconducts, Security, Challenges, Applications, and Future Research Directions -- A Systematic Review
Md. Shahin Ali
M. Ahsan
Lamia Tasnim
Sadia Afrin
Koushik Biswas
Maruf Md. Sajjad Hossain
Md Mahfuz Ahmed
Ronok Hashan
Md. Khairul Islam
Shivakumar Raman
230
22
0
22 May 2024
Open Challenges and Opportunities in Federated Foundation Models Towards Biomedical Healthcare
Xingyu Li
Lu Peng
Yuping Wang
Weihua Zhang
AI4CE
MedIm
LM&MA
341
35
0
10 May 2024
Enabling Privacy-Preserving and Publicly Auditable Federated Learning
Huang Zeng
Anjia Yang
Jian Weng
Min-Rong Chen
Fengjun Xiao
Yi Liu
Ye Yao
256
1
0
07 May 2024
FedFMS: Exploring Federated Foundation Models for Medical Image Segmentation
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2024
Yuxi Liu
Guibo Luo
Yuesheng Zhu
FedML
MedIm
285
18
0
08 Mar 2024
How to Privately Tune Hyperparameters in Federated Learning? Insights from a Benchmark Study
Natalija Mitic
Apostolos Pyrgelis
Sinem Sav
FedML
338
3
0
25 Feb 2024
Robust Training of Federated Models with Extremely Label Deficiency
Yonggang Zhang
Zhiqin Yang
Xinmei Tian
Nannan Wang
Tongliang Liu
Bo Han
FedML
260
7
0
22 Feb 2024
Empowering Federated Learning for Massive Models with NVIDIA FLARE
Holger R. Roth
Ziyue Xu
Yuan-Ting Hsieh
Adithya Renduchintala
Isaac Yang
...
Camir Ricketts
Daguang Xu
Chester Chen
Yan Cheng
Andrew Feng
AI4CE
166
7
0
12 Feb 2024
FedCore: Straggler-Free Federated Learning with Distributed Coresets
Hongpeng Guo
Haotian Gu
Xiaoyang Wang
Bo Chen
Eun Kyung Lee
Tamar Eilam
Deming Chen
Klara Nahrstedt
FedML
262
2
0
31 Jan 2024
AEDFL: Efficient Asynchronous Decentralized Federated Learning with Heterogeneous Devices
Ji Liu
Tianshi Che
Yang Zhou
Ruoming Jin
H. Dai
Dejing Dou
P. Valduriez
257
21
0
18 Dec 2023
The Symmetric alpha-Stable Privacy Mechanism
Annual Conference on Information Sciences and Systems (CISS), 2023
Christopher Zawacki
Eyad H. Abed
213
2
0
29 Nov 2023
On the Effect of Defections in Federated Learning and How to Prevent Them
Minbiao Han
Kumar Kshitij Patel
Han Shao
Lingxiao Wang
FedML
229
4
0
28 Nov 2023
A Novel Neural Network-Based Federated Learning System for Imbalanced and Non-IID Data
Mahfuzur Rahman Chowdhury
Muhammad Ibrahim
FedML
149
0
0
16 Nov 2023
Whole-brain radiomics for clustered federated personalization in brain tumor segmentation
International Conference on Medical Imaging with Deep Learning (MIDL), 2023
Matthis Manthe
Stefan Duffner
Carole Lartizien
FedML
277
4
0
17 Oct 2023
Multimodal Federated Learning in Healthcare: a Review
Jacob Thrasher
Alina Devkota
Prasiddha Siwakotai
Rohit Chivukula
Pranav Poudel
Chaunbo Hu
Binod Bhattarai
P. Gyawali
319
17
0
14 Oct 2023
Tackling Heterogeneity in Medical Federated learning via Vision Transformers
Erfan Darzi
Yiqing Shen
Yangming Ou
N. Sijtsema
P. V. Ooijen
MedIm
FedML
258
0
0
13 Oct 2023
Domain Generalization for Medical Image Analysis: A Survey
Proceedings of the IEEE (Proc. IEEE), 2023
Jee Seok Yoon
Kwanseok Oh
Yooseung Shin
Maciej A Mazurowski
Heung-Il Suk
LM&MA
OOD
397
4
0
05 Oct 2023
Benchmarking Collaborative Learning Methods Cost-Effectiveness for Prostate Segmentation
Lucia Innocenti
Michela Antonelli
Francesco Cremonesi
Kenaan Sarhan
Alejandro Granados
Vicky Goh
Sebastien Ourselin
Marco Lorenzi
FedML
215
2
0
29 Sep 2023
Federated Learning for Large-Scale Scene Modeling with Neural Radiance Fields
Teppei Suzuki
AI4CE
356
11
0
12 Sep 2023
Privacy Preserving Federated Learning with Convolutional Variational Bottlenecks
Daniel Scheliga
Patrick Mäder
M. Seeland
FedML
AAML
331
8
0
08 Sep 2023
Federated Learning Over Images: Vertical Decompositions and Pre-Trained Backbones Are Difficult to Beat
IEEE International Conference on Computer Vision (ICCV), 2023
Erdong Hu
Yu-Shuen Tang
Anastasios Kyrillidis
C. Jermaine
FedML
285
13
0
06 Sep 2023
Federated Learning for Computer Vision
Yassine Himeur
Iraklis Varlamis
Hamza Kheddar
Abbes Amira
Shadi Atalla
Yashbir Singh
F. Bensaali
Shadi Atalla
FedML
216
46
0
24 Aug 2023
GradientCoin: A Peer-to-Peer Decentralized Large Language Models
Yeqi Gao
Zhao Song
Junze Yin
173
23
0
21 Aug 2023
Federated Pseudo Modality Generation for Incomplete Multi-Modal MRI Reconstruction
IEEE journal of biomedical and health informatics (IEEE JBHI), 2023
Yu-bao Yan
Chun-Mei Feng
Yuexiang Li
Rick Siow Mong Goh
Lei Zhu
MedIm
237
6
0
20 Aug 2023
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