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"

43 / 343 papers shown

Title
NoPeek: Information leakage reduction to share activations in distributed deep learning Praneeth Vepakomma Abhishek Singh O. Gupta Ramesh Raskar MIACV FedML 21 84 0 20 Aug 2020
SplitNN-driven Vertical Partitioning Iker Ceballos Vivek Sharma Eduardo Mugica Abhishek Singh Alberto Roman Praneeth Vepakomma Ramesh Raskar 21 72 0 07 Aug 2020
Communication-Efficient and Distributed Learning Over Wireless Networks: Principles and Applications Jihong Park S. Samarakoon Anis Elgabli Joongheon Kim M. Bennis Seong-Lyun Kim Mérouane Debbah 34 161 0 06 Aug 2020
Group Knowledge Transfer: Federated Learning of Large CNNs at the Edge Chaoyang He M. Annavaram A. Avestimehr FedML 13 23 0 28 Jul 2020
FedML: A Research Library and Benchmark for Federated Machine Learning Chaoyang He Songze Li Jinhyun So Xiao Zeng Mi Zhang ... Yang Liu Ramesh Raskar Qiang Yang M. Annavaram Salman Avestimehr FedML 168 564 0 27 Jul 2020
Privacy-preserving Artificial Intelligence Techniques in Biomedicine Reihaneh Torkzadehmahani Reza Nasirigerdeh David B. Blumenthal T. Kacprowski M. List ... Harald H. H. W. Schmidt A. Schwalber Christof Tschohl Andrea Wohner Jan Baumbach 18 59 0 22 Jul 2020
Backdoor Attacks and Countermeasures on Deep Learning: A Comprehensive Review Yansong Gao Bao Gia Doan Zhi-Li Zhang Siqi Ma Jiliang Zhang Anmin Fu Surya Nepal Hyoungshick Kim AAML 30 220 0 21 Jul 2020
PrivColl: Practical Privacy-Preserving Collaborative Machine Learning Yanjun Zhang Guangdong Bai Xue Li Caitlin I. Curtis Cheng Chen R. Ko FedML 6 32 0 14 Jul 2020
The OARF Benchmark Suite: Characterization and Implications for Federated Learning Systems Sixu Hu Yuan N. Li Xu Liu Yue Liu Zhaomin Wu Bingsheng He FedML 18 53 0 14 Jun 2020
Incentive Mechanism Design for Resource Sharing in Collaborative Edge Learning Wei Yang Bryan Lim Jer Shyuan Ng Zehui Xiong Dusit Niyato Cyril Leung C. Miao Qiang Yang FedML 6 25 0 31 May 2020
Synthetic Learning: Learn From Distributed Asynchronized Discriminator GAN Without Sharing Medical Image Data Qi Chang Hui Qu Yikai Zhang M. Sabuncu Chao Chen Tong Zhang Dimitris N. Metaxas MedIm 26 78 0 29 May 2020
Vertically Federated Graph Neural Network for Privacy-Preserving Node Classification Chaochao Chen Jun Zhou Longfei Zheng Huiwen Wu Lingjuan Lyu Jia Wu Bingzhe Wu Ziqi Liu L. xilinx Wang Xiaolin Zheng FedML 18 96 0 25 May 2020
A Federated Learning Framework for Healthcare IoT devices Binhang Yuan Song Ge Wenhui Xing FedML OOD 15 64 0 07 May 2020
6G White Paper on Edge Intelligence Ella Peltonen M. Bennis M. Capobianco Merouane Debbah Aaron Yi Ding ... S. Samarakoon K. Seppänen Paweł Sroka Sasu Tarkoma Tingting Yang 12 137 0 30 Apr 2020
Privacy in Deep Learning: A Survey Fatemehsadat Mirshghallah Mohammadkazem Taram Praneeth Vepakomma Abhishek Singh Ramesh Raskar H. Esmaeilzadeh FedML 11 135 0 25 Apr 2020
SplitFed: When Federated Learning Meets Split Learning Chandra Thapa Pathum Chamikara Mahawaga Arachchige S. Çamtepe Lichao Sun FedML 17 567 0 25 Apr 2020
Apps Gone Rogue: Maintaining Personal Privacy in an Epidemic Ramesh Raskar Isabel Schunemann Rachel Barbar Kristen Vilcans J. Gray ... Greg Storm J. Werner Ayush Chopra Gauri Gupta Vivek Sharma 26 149 0 19 Mar 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 8 122 0 16 Mar 2020
Industrial Scale Privacy Preserving Deep Neural Network Longfei Zheng Chaochao Chen Yingting Liu Bingzhe Wu Xibin Wu Li Wang Lei Wang Jun Zhou Shuang Yang FedML 6 21 0 11 Mar 2020
Privacy-preserving Learning via Deep Net Pruning Yangsibo Huang Yushan Su S. S. Ravi Zhao-quan Song Sanjeev Arora K. Li MLT 14 16 0 04 Mar 2020
Secure and Robust Machine Learning for Healthcare: A Survey A. Qayyum Junaid Qadir Muhammad Bilal Ala I. Al-Fuqaha AAML OOD 45 374 0 21 Jan 2020
Privacy-Preserving Deep Learning Computation for Geo-Distributed Medical Big-Data Platforms Joohyung Jeon Junhui Kim Joongheon Kim Kwangsoo Kim Aziz Mohaisen Jong-Kook Kim FedML 9 25 0 09 Jan 2020
Split Learning for collaborative deep learning in healthcare M. Poirot Praneeth Vepakomma Ken Chang Jayashree Kalpathy-Cramer Rajiv Gupta Ramesh Raskar FedML OOD 16 135 0 27 Dec 2019
Advances and Open Problems in Federated Learning Peter Kairouz H. B. McMahan Brendan Avent A. Bellet M. Bennis ... Zheng Xu Qiang Yang Felix X. Yu Han Yu Sen Zhao FedML AI4CE 74 6,069 0 10 Dec 2019
Federated Learning with Personalization Layers Manoj Ghuhan Arivazhagan V. Aggarwal Aaditya Kumar Singh Sunav Choudhary FedML 14 810 0 02 Dec 2019
Artificial Intelligence in Glioma Imaging: Challenges and Advances Weina Jin M. Fatehi Kumar Abhishek Mayur Mallya B. Toyota Ghassan Hamarneh 25 42 0 28 Nov 2019
Federated and Differentially Private Learning for Electronic Health Records Stephen R. Pfohl Andrew M. Dai Katherine A. Heller OOD FedML 14 49 0 13 Nov 2019
Orthogonal Gradient Descent for Continual Learning Mehrdad Farajtabar Navid Azizan Alex Mott Ang Li CLL 22 348 0 15 Oct 2019
ExpertMatcher: Automating ML Model Selection for Clients using Hidden Representations Vivek Sharma Praneeth Vepakomma Tristan Swedish Kenglun Chang Jayashree Kalpathy-Cramer Ramesh Raskar 8 11 0 09 Oct 2019
ExpertMatcher: Automating ML Model Selection for Users in Resource Constrained Countries Vivek Sharma Praneeth Vepakomma Tristan Swedish Kenglun Chang Jayashree Kalpathy-Cramer Ramesh Raskar 18 7 0 05 Oct 2019
Maximal adversarial perturbations for obfuscation: Hiding certain attributes while preserving rest I. Ilanchezian Praneeth Vepakomma Abhishek Singh O. Gupta G. N. S. Prasanna Ramesh Raskar AAML 6 2 0 27 Sep 2019
Model Pruning Enables Efficient Federated Learning on Edge Devices Yuang Jiang Shiqiang Wang Victor Valls Bongjun Ko Wei-Han Lee Kin K. Leung Leandros Tassiulas 30 444 0 26 Sep 2019
Detailed comparison of communication efficiency of split learning and federated learning Abhishek Singh Praneeth Vepakomma O. Gupta Ramesh Raskar FedML 11 188 0 18 Sep 2019
From Server-Based to Client-Based Machine Learning: A Comprehensive Survey Renjie Gu Chaoyue Niu Fan Wu Guihai Chen Chun Hu Chengfei Lyu Zhihua Wu 25 25 0 18 Sep 2019
Federated Learning: Challenges, Methods, and Future Directions Tian Li Anit Kumar Sahu Ameet Talwalkar Virginia Smith FedML 25 4,414 0 21 Aug 2019
A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection Yue Liu Zeyi Wen Zhaomin Wu Sixu Hu Naibo Wang Yuan N. Li Xu Liu Bingsheng He FedML 37 968 0 23 Jul 2019
Reproducibility in Machine Learning for Health Matthew B. A. McDermott Shirly Wang N. Marinsek Rajesh Ranganath Marzyeh Ghassemi L. Foschini AI4TS 6 50 0 02 Jul 2019
Data Markets to support AI for All: Pricing, Valuation and Governance Ramesh Raskar Praneeth Vepakomma Tristan Swedish Aalekh Sharan TDI 13 16 0 14 May 2019
Automatic end-to-end De-identification: Is high accuracy the only metric? Vithya Yogarajan Bernhard Pfahringer Michael Mayo 8 24 0 27 Jan 2019
No Peek: A Survey of private distributed deep learning Praneeth Vepakomma Tristan Swedish Ramesh Raskar O. Gupta Abhimanyu Dubey SyDa FedML 22 99 0 08 Dec 2018
Wireless Network Intelligence at the Edge Jihong Park S. Samarakoon M. Bennis Mérouane Debbah 19 518 0 07 Dec 2018
An overview of deep learning in medical imaging focusing on MRI A. Lundervold A. Lundervold OOD 6 1,605 0 25 Nov 2018
A Survey on Deep Learning in Medical Image Analysis G. Litjens Thijs Kooi B. Bejnordi A. Setio F. Ciompi Mohsen Ghafoorian Jeroen van der Laak Bram van Ginneken C. I. Sánchez OOD 295 10,618 0 19 Feb 2017