Vulnerability Due to Training Order in Split Learning

Vulnerability Due to Training Order in Split Learning

26 March 2021

Papers citing "Vulnerability Due to Training Order in Split Learning"

19 / 19 papers shown

Title
Comparison of Privacy-Preserving Distributed Deep Learning Methods in Healthcare M. Gawali S. ArvindC. Shriya Suryavanshi Harshit Madaan A. Gaikwad KN BhanuPrakash V. Kulkarni Aniruddha Pant FedML 49 35 0 23 Dec 2020
Automated Pancreas Segmentation Using Multi-institutional Collaborative Deep Learning Pochuan Wang Chen Shen H. Roth Dong Yang Daguang Xu ... Po-Ting Chen Kao-Lang Liu Wei-Chih Liao Weichung Wang K. Mori FedML OOD 38 25 0 28 Sep 2020
SplitFed: When Federated Learning Meets Split Learning Chandra Thapa Pathum Chamikara Mahawaga Arachchige S. Çamtepe Lichao Sun FedML 73 573 0 25 Apr 2020
Can We Use Split Learning on 1D CNN Models for Privacy Preserving Training? Sharif Abuadbba Kyuyeon Kim Minki Kim Chandra Thapa S. Çamtepe Yansong Gao Hyoungshick Kim Surya Nepal FedML 31 123 0 16 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 48 135 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 59 475 0 02 Oct 2019
Detailed comparison of communication efficiency of split learning and federated learning Abhishek Singh Praneeth Vepakomma O. Gupta Ramesh Raskar FedML 43 188 0 18 Sep 2019
PadChest: A large chest x-ray image dataset with multi-label annotated reports A. Bustos A. Pertusa J. M. Salinas M. Iglesia-Vayá LM&MA 56 607 0 22 Jan 2019
MIMIC-CXR-JPG, a large publicly available database of labeled chest radiographs Alistair E. W. Johnson Tom Pollard Nathaniel R. Greenbaum M. Lungren Chih-ying Deng Yifan Peng Zhiyong Lu R. Mark Seth Berkowitz Steven Horng MedIm 75 803 0 21 Jan 2019
No Peek: A Survey of private distributed deep learning Praneeth Vepakomma Tristan Swedish Ramesh Raskar O. Gupta Abhimanyu Dubey SyDa FedML 47 100 0 08 Dec 2018
Split learning for health: Distributed deep learning without sharing raw patient data Praneeth Vepakomma O. Gupta Tristan Swedish Ramesh Raskar FedML 83 694 0 03 Dec 2018
A generic framework for privacy preserving deep learning Wenbo Guo Yunzhe Tao Morten Dahl Sui Huang Masashi Sugiyama Daniel Rueckert Lin Lin FedML 68 435 0 09 Nov 2018
Distributed learning of deep neural network over multiple agents O. Gupta Ramesh Raskar FedML OOD 44 602 0 14 Oct 2018
Multi-Institutional Deep Learning Modeling Without Sharing Patient Data: A Feasibility Study on Brain Tumor Segmentation Micah J. Sheller G. A. Reina Brandon Edwards Jason Martin Spyridon Bakas FedML 47 458 0 10 Oct 2018
Deep Learning Scaling is Predictable, Empirically Joel Hestness Sharan Narang Newsha Ardalani G. Diamos Heewoo Jun Hassan Kianinejad Md. Mostofa Ali Patwary Yang Yang Yanqi Zhou 83 728 0 01 Dec 2017
Federated Optimization: Distributed Machine Learning for On-Device Intelligence Jakub Konecný H. B. McMahan Daniel Ramage Peter Richtárik FedML 96 1,886 0 08 Oct 2016
Densely Connected Convolutional Networks Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger PINN 3DV 631 36,599 0 25 Aug 2016
Communication-Efficient Learning of Deep Networks from Decentralized Data H. B. McMahan Eider Moore Daniel Ramage S. Hampson Blaise Agüera y Arcas FedML 234 17,328 0 17 Feb 2016
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 840 149,474 0 22 Dec 2014