Split learning for health: Distributed deep learning without sharing raw patient data

3 December 2018

Papers citing "Split learning for health: Distributed deep learning without sharing raw patient data"

50 / 343 papers shown

Title
Revealing the Landscape of Privacy-Enhancing Technologies in the Context of Data Markets for the IoT: A Systematic Literature Review Gonzalo Munilla Garrido Johannes Sedlmeir Ömer Uludağ Ilias Soto Alaoui André Luckow Florian Matthes 22 45 0 25 Jul 2021
Communication and Computation Reduction for Split Learning using Asynchronous Training Xing Chen Jingtao Li C. Chakrabarti 16 28 0 20 Jul 2021
Precision-Weighted Federated Learning Jonatan Reyes Di-Jorio Lisa Cécile Low-Kam Marta Kersten-Oertel FedML 16 35 0 20 Jul 2021
An Experimental Study of Data Heterogeneity in Federated Learning Methods for Medical Imaging Liangqiong Qu N. Balachandar D. Rubin 14 24 0 18 Jul 2021
A Field Guide to Federated Optimization Jianyu Wang Zachary B. Charles Zheng Xu Gauri Joshi H. B. McMahan ... Mi Zhang Tong Zhang Chunxiang Zheng Chen Zhu Wennan Zhu FedML 187 411 0 14 Jul 2021
Towards Representation Identical Privacy-Preserving Graph Neural Network via Split Learning Chuanqiang Shan Hui Jiao Jie Fu 21 14 0 13 Jul 2021
FedAdapt: Adaptive Offloading for IoT Devices in Federated Learning Di Wu R. Ullah P. Harvey Peter Kilpatrick I. Spence Blesson Varghese 40 78 0 09 Jul 2021
Handling Data Heterogeneity with Generative Replay in Collaborative Learning for Medical Imaging Liangqiong Qu N. Balachandar Miao Zhang D. Rubin MedIm 14 19 0 24 Jun 2021
A Vertical Federated Learning Framework for Horizontally Partitioned Labels Wensheng Xia Ying Li Lan Zhang Zhonghai Wu Xiaoyong Yuan FedML 20 11 0 18 Jun 2021
A Coupled Design of Exploiting Record Similarity for Practical Vertical Federated Learning Zhaomin Wu Qinbin Li Bingsheng He FedML 27 19 0 11 Jun 2021
Rethinking Architecture Design for Tackling Data Heterogeneity in Federated Learning Liangqiong Qu Yuyin Zhou Paul Pu Liang Yingda Xia Feifei Wang Ehsan Adeli L. Fei-Fei D. Rubin FedML AI4CE 19 174 0 10 Jun 2021
Vertical Federated Learning without Revealing Intersection Membership Jiankai Sun Xin Yang Yuanshun Yao Aonan Zhang Weihao Gao Junyuan Xie Chong-Jun Wang FedML 23 37 0 10 Jun 2021
Multi-VFL: A Vertical Federated Learning System for Multiple Data and Label Owners Vaikkunth Mugunthan P. Goyal Lalana Kagal FedML 24 9 0 10 Jun 2021
GAL: Gradient Assisted Learning for Decentralized Multi-Organization Collaborations Enmao Diao Jie Ding Vahid Tarokh FedML 22 16 0 02 Jun 2021
Communication-Efficient Split Learning Based on Analog Communication and Over the Air Aggregation Mounssif Krouka Anis Elgabli Chaouki Ben Issaid M. Bennis 11 21 0 02 Jun 2021
H-FL: A Hierarchical Communication-Efficient and Privacy-Protected Architecture for Federated Learning He Yang 14 27 0 01 Jun 2021
Citadel: Protecting Data Privacy and Model Confidentiality for Collaborative Learning with SGX Chengliang Zhang Junzhe Xia Baichen Yang Huancheng Puyang W. Wang Ruichuan Chen Istemi Ekin Akkus Paarijaat Aditya Feng Yan FedML 53 39 0 04 May 2021
OCTOPUS: Overcoming Performance andPrivatization Bottlenecks in Distributed Learning Shuo Wang Surya Nepal Kristen Moore M. Grobler Carsten Rudolph A. Abuadbba FedML 32 8 0 03 May 2021
Syft 0.5: A Platform for Universally Deployable Structured Transparency A. Hall Madhava Jay Tudor Cebere Bogdan Cebere K. V. D. Veen ... Animesh Gupta Jason Paumier Nahua Kang V. Manannikov Andrew Trask FedML 26 7 0 26 Apr 2021
Split Learning Meets Koopman Theory for Wireless Remote Monitoring and Prediction Abanoub M. Girgis Hyowoon Seo Jihong Park M. Bennis Jinho D. Choi 13 7 0 16 Apr 2021
Federated Learning-based Active Authentication on Mobile Devices Poojan Oza Vishal M. Patel FedML 11 20 0 14 Apr 2021
Practical Defences Against Model Inversion Attacks for Split Neural Networks Tom Titcombe A. Hall Pavlos Papadopoulos Daniele Romanini FedML 27 58 0 12 Apr 2021
MGN-Net: a multi-view graph normalizer for integrating heterogeneous biological network populations I. Rekik Mustafa Burak Gurbuz 6 23 0 04 Apr 2021
PyVertical: A Vertical Federated Learning Framework for Multi-headed SplitNN Daniele Romanini A. Hall Pavlos Papadopoulos Tom Titcombe Abbas Ismail Tudor Cebere R. Sandmann Robin Roehm Michael A. Hoeh FedML MU 13 90 0 01 Apr 2021
Vulnerability Due to Training Order in Split Learning Harshit Madaan M. Gawali V. Kulkarni Aniruddha Pant FedML 14 6 0 26 Mar 2021
FedV: Privacy-Preserving Federated Learning over Vertically Partitioned Data Runhua Xu Nathalie Baracaldo Yi Zhou Ali Anwar J. Joshi Heiko Ludwig FedML 13 75 0 05 Mar 2021
Evaluation and Optimization of Distributed Machine Learning Techniques for Internet of Things Yansong Gao Minki Kim Chandra Thapa Sharif Abuadbba Zhi-Li Zhang S. Çamtepe Hyoungshick Kim Surya Nepal 28 59 0 03 Mar 2021
Towards Personalized Federated Learning A. Tan Han Yu Li-zhen Cui Qiang Yang FedML AI4CE 209 840 0 01 Mar 2021
Label Leakage and Protection in Two-party Split Learning Oscar Li Jiankai Sun Xin Yang Weihao Gao Hongyi Zhang Junyuan Xie Virginia Smith Chong-Jun Wang FedML 124 139 0 17 Feb 2021
Key Technology Considerations in Developing and Deploying Machine Learning Models in Clinical Radiology Practice V. Kulkarni M. Gawali A. Kharat VLM 48 21 0 03 Feb 2021
Self-supervised Cross-silo Federated Neural Architecture Search Xinle Liang Yang Liu Jiahuan Luo Yuanqin He Tianjian Chen Qiang Yang FedML 100 18 0 28 Jan 2021
IPLS : A Framework for Decentralized Federated Learning C. Pappas Dimitris Chatzopoulos S. Lalis M. Vavalis VLM 21 66 0 06 Jan 2021
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 10 35 0 23 Dec 2020
DISCO: Dynamic and Invariant Sensitive Channel Obfuscation for deep neural networks Abhishek Singh Ayush Chopra Vivek Sharma Ethan Garza Emily Zhang Praneeth Vepakomma Ramesh Raskar 17 45 0 20 Dec 2020
NN-EMD: Efficiently Training Neural Networks using Encrypted Multi-Sourced Datasets Runhua Xu J. Joshi Chao Li FedML 8 18 0 18 Dec 2020
Towards Scalable and Privacy-Preserving Deep Neural Network via Algorithmic-Cryptographic Co-design Jun Zhou Longfei Zheng Chaochao Chen Yan Wang Xiaolin Zheng Bingzhe Wu Cen Chen Li Wang Jianwei Yin FedML 26 3 0 17 Dec 2020
Multi-modal AsynDGAN: Learn From Distributed Medical Image Data without Sharing Private Information Qi Chang Zhennan Yan L. Baskaran Hui Qu Yikai Zhang Tong Zhang Shaoting Zhang Dimitris N. Metaxas MedIm 21 12 0 15 Dec 2020
Unleashing the Tiger: Inference Attacks on Split Learning Dario Pasquini G. Ateniese M. Bernaschi FedML 26 147 0 04 Dec 2020
Advancements of federated learning towards privacy preservation: from federated learning to split learning Chandra Thapa Pathum Chamikara Mahawaga Arachchige S. Çamtepe FedML 14 82 0 25 Nov 2020
When Machine Learning Meets Privacy: A Survey and Outlook B. Liu Ming Ding Sina shaham W. Rahayu F. Farokhi Zihuai Lin 10 281 0 24 Nov 2020
Survey and Open Problems in Privacy Preserving Knowledge Graph: Merging, Query, Representation, Completion and Applications Chaochao Chen Jamie Cui Guanfeng Liu Jia Wu Li Wang 17 22 0 20 Nov 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 19 27 0 18 Nov 2020
SplitEasy: A Practical Approach for Training ML models on Mobile Devices Kamalesh Palanisamy Vivek Khimani Moin Hussain Moti Dimitris Chatzopoulos 14 20 0 09 Nov 2020
FedSL: Federated Split Learning on Distributed Sequential Data in Recurrent Neural Networks Ali Abedi Shehroz S. Khan FedML 31 53 0 06 Nov 2020
Evaluation of Inference Attack Models for Deep Learning on Medical Data Maoqiang Wu Xinyue Zhang Jiahao Ding H. Nguyen Rong Yu M. Pan Stephen T. C. Wong MIACV 12 18 0 31 Oct 2020
MixCon: Adjusting the Separability of Data Representations for Harder Data Recovery Xiaoxiao Li Yangsibo Huang Binghui Peng Zhao-quan Song K. Li MIACV 20 1 0 22 Oct 2020
FedSmart: An Auto Updating Federated Learning Optimization Mechanism Anxun He Jianzong Wang Zhangcheng Huang Jing Xiao FedML 9 10 0 16 Sep 2020
FedCVT: Semi-supervised Vertical Federated Learning with Cross-view Training Yan Kang Yang Liu Xinle Liang FedML 71 51 0 25 Aug 2020
Precision Health Data: Requirements, Challenges and Existing Techniques for Data Security and Privacy Chandra Thapa S. Çamtepe 6 202 0 24 Aug 2020
Multiple Classification with Split Learning Jongwon Kim Sungho Shin Yeonguk Yu Junseok Lee Kyoobin Lee FedML 15 12 0 22 Aug 2020