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"
50 / 382 papers shown
Rethinking Architecture Design for Tackling Data Heterogeneity in Federated Learning
Computer Vision and Pattern Recognition (CVPR), 2021
Liangqiong Qu
Yuyin Zhou
Paul Pu Liang
Yingda Xia
Feifei Wang
Ehsan Adeli
L. Fei-Fei
D. Rubin
FedML
AI4CE
400
213
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
176
44
0
10 Jun 2021
Multi-VFL: A Vertical Federated Learning System for Multiple Data and Label Owners
Vaikkunth Mugunthan
P. Goyal
Lalana Kagal
FedML
212
11
0
10 Jun 2021
GAL: Gradient Assisted Learning for Decentralized Multi-Organization Collaborations
Neural Information Processing Systems (NeurIPS), 2021
Enmao Diao
Jie Ding
Vahid Tarokh
FedML
348
17
0
02 Jun 2021
Communication-Efficient Split Learning Based on Analog Communication and Over the Air Aggregation
Global Communications Conference (GLOBECOM), 2021
Mounssif Krouka
Anis Elgabli
Chaouki Ben Issaid
M. Bennis
136
25
0
02 Jun 2021
H-FL: A Hierarchical Communication-Efficient and Privacy-Protected Architecture for Federated Learning
International Joint Conference on Artificial Intelligence (IJCAI), 2021
He Yang
152
35
0
01 Jun 2021
Citadel: Protecting Data Privacy and Model Confidentiality for Collaborative Learning with SGX
ACM Symposium on Cloud Computing (SoCC), 2021
Chengliang Zhang
Junzhe Xia
Baichen Yang
Huancheng Puyang
Wei Wang
Ruichuan Chen
Istemi Ekin Akkus
Paarijaat Aditya
Feng Yan
FedML
191
43
0
04 May 2021
OCTOPUS: Overcoming Performance andPrivatization Bottlenecks in Distributed Learning
IEEE Transactions on Parallel and Distributed Systems (TPDS), 2021
Shuo Wang
Surya Nepal
Kristen Moore
M. Grobler
Carsten Rudolph
A. Abuadbba
FedML
192
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
211
8
0
26 Apr 2021
Split Learning Meets Koopman Theory for Wireless Remote Monitoring and Prediction
IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), 2021
Abanoub M. Girgis
Hyowoon Seo
Jihong Park
M. Bennis
Jinho Choi
117
7
0
16 Apr 2021
Federated Learning-based Active Authentication on Mobile Devices
Poojan Oza
Vishal M. Patel
FedML
125
24
0
14 Apr 2021
Practical Defences Against Model Inversion Attacks for Split Neural Networks
Tom Titcombe
A. Hall
Pavlos Papadopoulos
Daniele Romanini
FedML
138
69
0
12 Apr 2021
MGN-Net: a multi-view graph normalizer for integrating heterogeneous biological network populations
I. Rekik
Mustafa Burak Gurbuz
152
26
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
319
112
0
01 Apr 2021
Vulnerability Due to Training Order in Split Learning
Harshit Madaan
M. Gawali
V. Kulkarni
Aniruddha Pant
FedML
180
8
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
223
93
0
05 Mar 2021
Evaluation and Optimization of Distributed Machine Learning Techniques for Internet of Things
IEEE transactions on computers (IEEE Trans. Comput.), 2021
Yansong Gao
Minki Kim
Chandra Thapa
Sharif Abuadbba
Zhi-Li Zhang
S. Çamtepe
Hyoungshick Kim
Surya Nepal
147
77
0
03 Mar 2021
Towards Personalized Federated Learning
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021
A. Tan
Han Yu
Li-zhen Cui
Qiang Yang
FedML
AI4CE
682
1,099
0
01 Mar 2021
Label Leakage and Protection in Two-party Split Learning
International Conference on Learning Representations (ICLR), 2021
Oscar Li
Jiankai Sun
Xin Yang
Weihao Gao
Hongyi Zhang
Junyuan Xie
Virginia Smith
Chong-Jun Wang
FedML
315
162
0
17 Feb 2021
Key Technology Considerations in Developing and Deploying Machine Learning Models in Clinical Radiology Practice
JMIR Medical Informatics (JMIR Med Inform), 2021
V. Kulkarni
M. Gawali
A. Kharat
VLM
255
27
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
269
21
0
28 Jan 2021
IPLS : A Framework for Decentralized Federated Learning
C. Pappas
Dimitris Chatzopoulos
S. Lalis
M. Vavalis
VLM
179
73
0
06 Jan 2021
Comparison of Privacy-Preserving Distributed Deep Learning Methods in Healthcare
Annual Conference on Medical Image Understanding and Analysis (MIUA), 2020
M. Gawali
S. ArvindC.
Shriya Suryavanshi
Harshit Madaan
A. Gaikwad
KN BhanuPrakash
V. Kulkarni
Aniruddha Pant
FedML
185
38
0
23 Dec 2020
DISCO: Dynamic and Invariant Sensitive Channel Obfuscation for deep neural networks
Computer Vision and Pattern Recognition (CVPR), 2020
Abhishek Singh
Ayush Chopra
Vivek Sharma
Ethan Garza
Emily Zhang
Praneeth Vepakomma
Ramesh Raskar
244
58
0
20 Dec 2020
NN-EMD: Efficiently Training Neural Networks using Encrypted Multi-Sourced Datasets
IEEE Transactions on Dependable and Secure Computing (TDSC), 2020
Runhua Xu
J. Joshi
Chao Li
FedML
179
23
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
159
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
216
13
0
15 Dec 2020
Unleashing the Tiger: Inference Attacks on Split Learning
Dario Pasquini
G. Ateniese
M. Bernaschi
FedML
612
195
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
160
99
0
25 Nov 2020
When Machine Learning Meets Privacy: A Survey and Outlook
ACM Computing Surveys (ACM CSUR), 2020
B. Liu
Ming Ding
Sina shaham
W. Rahayu
F. Farokhi
Zihuai Lin
273
322
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
Hongzhi Zhang
Li Wang
245
27
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
167
30
0
18 Nov 2020
SplitEasy: A Practical Approach for Training ML models on Mobile Devices
Kamalesh Palanisamy
Vivek Khimani
Moin Hussain Moti
Dimitris Chatzopoulos
330
24
0
09 Nov 2020
FedSL: Federated Split Learning on Distributed Sequential Data in Recurrent Neural Networks
Ali Abedi
Shehroz S. Khan
FedML
248
80
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
Miao Pan
Stephen T. C. Wong
MIACV
117
22
0
31 Oct 2020
MixCon: Adjusting the Separability of Data Representations for Harder Data Recovery
Xiaoxiao Li
Yangsibo Huang
Binghui Peng
Zhao Song
Keqin Li
MIACV
202
1
0
22 Oct 2020
FedSmart: An Auto Updating Federated Learning Optimization Mechanism
Anxun He
Jianzong Wang
Zhangcheng Huang
Jing Xiao
FedML
116
11
0
16 Sep 2020
FedCVT: Semi-supervised Vertical Federated Learning with Cross-view Training
Weijing Chen
Yang Liu
Xinle Liang
FedML
253
66
0
25 Aug 2020
Precision Health Data: Requirements, Challenges and Existing Techniques for Data Security and Privacy
Chandra Thapa
S. Çamtepe
133
258
0
24 Aug 2020
Multiple Classification with Split Learning
Jongwon Kim
Sungho Shin
Yeonguk Yu
Junseok Lee
Kyoobin Lee
FedML
267
14
0
22 Aug 2020
NoPeek: Information leakage reduction to share activations in distributed deep learning
Praneeth Vepakomma
Abhishek Singh
O. Gupta
Ramesh Raskar
MIACV
FedML
226
104
0
20 Aug 2020
SplitNN-driven Vertical Partitioning
Iker Ceballos
Vivek Sharma
Eduardo Mugica
Abhishek Singh
Alberto Roman
Praneeth Vepakomma
Ramesh Raskar
175
84
0
07 Aug 2020
Communication-Efficient and Distributed Learning Over Wireless Networks: Principles and Applications
Proceedings of the IEEE (Proc. IEEE), 2020
Jihong Park
S. Samarakoon
Anis Elgabli
Joongheon Kim
M. Bennis
Seong-Lyun Kim
Mérouane Debbah
274
176
0
06 Aug 2020
Group Knowledge Transfer: Federated Learning of Large CNNs at the Edge
Chaoyang He
M. Annavaram
A. Avestimehr
FedML
283
24
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
596
656
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
273
78
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
311
267
0
21 Jul 2020
PrivColl: Practical Privacy-Preserving Collaborative Machine Learning
European Symposium on Research in Computer Security (ESORICS), 2020
Yanjun Zhang
Guangdong Bai
Xue Li
Caitlin I. Curtis
Chong Chen
R. Ko
FedML
122
37
0
14 Jul 2020
The OARF Benchmark Suite: Characterization and Implications for Federated Learning Systems
ACM Transactions on Intelligent Systems and Technology (ACM TIST), 2020
Sixu Hu
Yuan N. Li
Xu Liu
Yue Liu
Zhaomin Wu
Bingsheng He
FedML
350
61
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
Chunyan Miao
Qiang Yang
FedML
162
26
0
31 May 2020
Previous
1
2
3
4
5
6
7
8
Next
