Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
1812.00564
Cited By
Split learning for health: Distributed deep learning without sharing raw patient data
3 December 2018
Praneeth Vepakomma
O. Gupta
Tristan Swedish
Ramesh Raskar
FedML
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Split learning for health: Distributed deep learning without sharing raw patient data"
32 / 382 papers shown
Synthetic Learning: Learn From Distributed Asynchronized Discriminator GAN Without Sharing Medical Image Data
Computer Vision and Pattern Recognition (CVPR), 2020
Qi Chang
Hui Qu
Yikai Zhang
M. Sabuncu
Chao Chen
Tong Zhang
Dimitris N. Metaxas
MedIm
216
96
0
29 May 2020
Vertically Federated Graph Neural Network for Privacy-Preserving Node Classification
Chaochao Chen
Jun Zhou
Longfei Zheng
Huiwen Wu
Lingjuan Lyu
Hongzhi Zhang
Bingzhe Wu
Ziqi Liu
L. xilinx Wang
Xiaolin Zheng
FedML
446
115
0
25 May 2020
A Federated Learning Framework for Healthcare IoT devices
Binhang Yuan
Song Ge
Wenhui Xing
FedML
OOD
129
82
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
200
160
0
30 Apr 2020
Privacy in Deep Learning: A Survey
Fatemehsadat Mirshghallah
Mohammadkazem Taram
Praneeth Vepakomma
Abhishek Singh
Ramesh Raskar
H. Esmaeilzadeh
FedML
457
148
0
25 Apr 2020
SplitFed: When Federated Learning Meets Split Learning
AAAI Conference on Artificial Intelligence (AAAI), 2020
Chandra Thapa
Pathum Chamikara Mahawaga Arachchige
S. Çamtepe
Lichao Sun
FedML
437
776
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
219
151
0
19 Mar 2020
Can We Use Split Learning on 1D CNN Models for Privacy Preserving Training?
ACM Asia Conference on Computer and Communications Security (AsiaCCS), 2020
Sharif Abuadbba
Kyuyeon Kim
Minki Kim
Chandra Thapa
S. Çamtepe
Yansong Gao
Hyoungshick Kim
Surya Nepal
FedML
196
143
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
225
21
0
11 Mar 2020
Privacy-preserving Learning via Deep Net Pruning
Yangsibo Huang
Yushan Su
S. S. Ravi
Zhao Song
Sanjeev Arora
Keqin Li
MLT
155
20
0
04 Mar 2020
Secure and Robust Machine Learning for Healthcare: A Survey
IEEE Reviews in Biomedical Engineering (RBME), 2020
A. Qayyum
Junaid Qadir
Muhammad Bilal
Ala I. Al-Fuqaha
AAML
OOD
260
448
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
73
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
176
167
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
698
7,661
0
10 Dec 2019
Federated Learning with Personalization Layers
Manoj Ghuhan Arivazhagan
V. Aggarwal
Aaditya Kumar Singh
Sunav Choudhary
FedML
379
1,108
0
02 Dec 2019
Artificial Intelligence in Glioma Imaging: Challenges and Advances
Journal of Neural Engineering (J. Neural Eng.), 2019
Weina Jin
M. Fatehi
Kumar Abhishek
Mayur Mallya
B. Toyota
Ghassan Hamarneh
401
44
0
28 Nov 2019
Federated and Differentially Private Learning for Electronic Health Records
Stephen Pfohl
Andrew M. Dai
Katherine A. Heller
OOD
FedML
169
55
0
13 Nov 2019
Orthogonal Gradient Descent for Continual Learning
International Conference on Artificial Intelligence and Statistics (AISTATS), 2019
Mehrdad Farajtabar
Navid Azizan
Alex Mott
Ang Li
CLL
690
453
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
164
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
148
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
118
2
0
27 Sep 2019
Model Pruning Enables Efficient Federated Learning on Edge Devices
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2019
Yuang Jiang
Maroun Touma
Victor Valls
Bongjun Ko
Yan Koyfman
Kin K. Leung
Leandros Tassiulas
535
578
0
26 Sep 2019
Detailed comparison of communication efficiency of split learning and federated learning
Abhishek Singh
Praneeth Vepakomma
O. Gupta
Ramesh Raskar
FedML
156
214
0
18 Sep 2019
From Server-Based to Client-Based Machine Learning: A Comprehensive Survey
ACM Computing Surveys (ACM CSUR), 2019
Renjie Gu
Chaoyue Niu
Fan Wu
Guihai Chen
Chun Hu
Chengfei Lyu
Zhihua Wu
253
29
0
18 Sep 2019
Federated Learning: Challenges, Methods, and Future Directions
IEEE Signal Processing Magazine (IEEE SPM), 2019
Tian Li
Anit Kumar Sahu
Ameet Talwalkar
Virginia Smith
FedML
1.6K
5,486
0
21 Aug 2019
A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2019
Yue Liu
Zeyi Wen
Zhaomin Wu
Sixu Hu
Naibo Wang
Yuan N. Li
Xu Liu
Bingsheng He
FedML
504
1,272
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
112
55
0
02 Jul 2019
Data Markets to support AI for All: Pricing, Valuation and Governance
Ramesh Raskar
Praneeth Vepakomma
Tristan Swedish
Aalekh Sharan
TDI
121
17
0
14 May 2019
Automatic end-to-end De-identification: Is high accuracy the only metric?
Vithya Yogarajan
Bernhard Pfahringer
Michael Mayo
143
29
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
206
109
0
08 Dec 2018
Wireless Network Intelligence at the Edge
Jihong Park
S. Samarakoon
M. Bennis
Mérouane Debbah
297
559
0
07 Dec 2018
An overview of deep learning in medical imaging focusing on MRI
Zeitschrift für Medizinische Physik (Z Med Phys), 2018
A. Lundervold
A. Lundervold
OOD
340
1,807
0
25 Nov 2018
Previous
1
2
3
4
5
6
7
8
Page 8 of 8
