Split-U-Net: Preventing Data Leakage in Split Learning for Collaborative Multi-Modal Brain Tumor Segmentation

22 August 2022

H. Roth

Ali Hatamizadeh

Ziyue Xu

Can Zhao

Wenqi Li

Andriy Myronenko

Daguang Xu

FedML

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Papers citing "Split-U-Net: Preventing Data Leakage in Split Learning for Collaborative Multi-Modal Brain Tumor Segmentation"

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Title
Feasibility Study of Multi-Site Split Learning for Privacy-Preserving Medical Systems under Data Imbalance Constraints in COVID-19, X-Ray, and Cholesterol Dataset Yoo Jeong Ha Gusang Lee M. Yoo Soyi Jung Seehwan Yoo Joongheon Kim OOD 51 25 0 21 Feb 2022
Do Gradient Inversion Attacks Make Federated Learning Unsafe? Ali Hatamizadeh Hongxu Yin Pavlo Molchanov Andriy Myronenko Wenqi Li ... Andrew Feng Mona G. Flores Jan Kautz Daguang Xu H. Roth FedML 69 66 0 14 Feb 2022
Swin UNETR: Swin Transformers for Semantic Segmentation of Brain Tumors in MRI Images Ali Hatamizadeh V. Nath Yucheng Tang Dong Yang H. Roth Daguang Xu ViT MedIm 120 1,125 0 04 Jan 2022
UnSplit: Data-Oblivious Model Inversion, Model Stealing, and Label Inference Attacks Against Split Learning Ege Erdogan Alptekin Kupcu A. E. Cicek FedML MIACV 54 79 0 20 Aug 2021
The Medical Segmentation Decathlon Michela Antonelli Annika Reinke Spyridon Bakas Keyvan Farahani AnnetteKopp-Schneider ... Zhanwei Xu Yefeng Zheng Amber L. Simpson Lena Maier-Hein M. Jorge Cardoso OOD 106 983 0 10 Jun 2021
See through Gradients: Image Batch Recovery via GradInversion Hongxu Yin Arun Mallya Arash Vahdat J. Álvarez Jan Kautz Pavlo Molchanov FedML 81 473 0 15 Apr 2021
Unleashing the Tiger: Inference Attacks on Split Learning Dario Pasquini G. Ateniese M. Bernaschi FedML 85 150 0 04 Dec 2020
Asymmetric Private Set Intersection with Applications to Contact Tracing and Private Vertical Federated Machine Learning Nick Angelou Ayoub Benaissa Bogdan Cebere William Clark A. Hall ... Pavlos Papadopoulos Robin Roehm R. Sandmann Phillipp Schoppmann Tom Titcombe 39 28 0 18 Nov 2020
Local Differential Privacy and Its Applications: A Comprehensive Survey Mengmeng Yang Lingjuan Lyu Jun Zhao Tianqing Zhu Kwok-Yan Lam 83 145 0 09 Aug 2020
SplitFed: When Federated Learning Meets Split Learning Chandra Thapa Pathum Chamikara Mahawaga Arachchige S. Çamtepe Lichao Sun FedML 88 581 0 25 Apr 2020
Inverting Gradients -- How easy is it to break privacy in federated learning? Jonas Geiping Hartmut Bauermeister Hannah Dröge Michael Moeller FedML 103 1,228 0 31 Mar 2020
The Future of Digital Health with Federated Learning Nicola Rieke Jonny Hancox Wenqi Li Fausto Milletari H. Roth ... Ronald M. Summers Andrew Trask Daguang Xu Maximilian Baust M. Jorge Cardoso OOD 259 1,774 0 18 Mar 2020
Split Learning for collaborative deep learning in healthcare M. Poirot Praneeth Vepakomma Ken Chang Jayashree Kalpathy-Cramer Rajiv Gupta Ramesh Raskar FedML OOD 60 135 0 27 Dec 2019
Privacy-preserving Federated Brain Tumour Segmentation Wenqi Li Fausto Milletarì Daguang Xu Nicola Rieke Jonny Hancox ... Maximilian Baust Yan Cheng Sébastien Ourselin M. Jorge Cardoso Andrew Feng FedML 73 478 0 02 Oct 2019
Detailed comparison of communication efficiency of split learning and federated learning Abhishek Singh Praneeth Vepakomma O. Gupta Ramesh Raskar FedML 53 189 0 18 Sep 2019
A large annotated medical image dataset for the development and evaluation of segmentation algorithms Amber L. Simpson Michela Antonelli Spyridon Bakas Michel Bilello Keyvan Farahani ... M. McHugo S. Napel Eugene Vorontsov Lena Maier-Hein M. Jorge Cardoso 114 860 0 25 Feb 2019
Federated Machine Learning: Concept and Applications Qiang Yang Yang Liu Tianjian Chen Yongxin Tong FedML 72 2,318 0 13 Feb 2019
Split learning for health: Distributed deep learning without sharing raw patient data Praneeth Vepakomma O. Gupta Tristan Swedish Ramesh Raskar FedML 118 707 0 03 Dec 2018
Distributed learning of deep neural network over multiple agents O. Gupta Ramesh Raskar FedML OOD 66 605 0 14 Oct 2018
Communication-Efficient Learning of Deep Networks from Decentralized Data H. B. McMahan Eider Moore Daniel Ramage S. Hampson Blaise Agüera y Arcas FedML 406 17,486 0 17 Feb 2016
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 1.8K 77,196 0 18 May 2015