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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
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Papers citing
"Split learning for health: Distributed deep learning without sharing raw patient data"
50 / 382 papers shown
Similarity-based Label Inference Attack against Training and Inference of Split Learning
IEEE Transactions on Information Forensics and Security (IEEE TIFS), 2022
Junlin Liu
Xinchen Lyu
Qimei Cui
Xiaofeng Tao
FedML
249
36
0
10 Mar 2022
LSTMSPLIT: Effective SPLIT Learning based LSTM on Sequential Time-Series Data
Lianlian Jiang
Yuexuan Wang
Wenyi Zheng
Chao Jin
Zengxiang Li
Sin Gee Teo
AI4TS
236
13
0
08 Mar 2022
Differentially Private Label Protection in Split Learning
Xin Yang
Jiankai Sun
Yuanshun Yao
Junyuan Xie
Chong-Jun Wang
FedML
196
43
0
04 Mar 2022
Label Leakage and Protection from Forward Embedding in Vertical Federated Learning
Jiankai Sun
Xin Yang
Yuanshun Yao
Chong-Jun Wang
FedML
263
45
0
02 Mar 2022
Split HE: Fast Secure Inference Combining Split Learning and Homomorphic Encryption
George-Liviu Pereteanu
A. Alansary
Jonathan Passerat-Palmbach
FedML
177
27
0
27 Feb 2022
Efficient Attribute Unlearning: Towards Selective Removal of Input Attributes from Feature Representations
Tao Guo
Song Guo
Jiewei Zhang
Wenchao Xu
Junxiao Wang
MU
212
24
0
27 Feb 2022
Efficient Distributed DNNs in the Mobile-edge-cloud Continuum
IEEE/ACM Transactions on Networking (TON), 2022
F. Malandrino
C. Chiasserini
G. di Giacomo
149
9
0
23 Feb 2022
Feasibility Study of Multi-Site Split Learning for Privacy-Preserving Medical Systems under Data Imbalance Constraints in COVID-19, X-Ray, and Cholesterol Dataset
Scientific Reports (Sci Rep), 2022
Yoo Jeong Ha
Gusang Lee
M. Yoo
Soyi Jung
Seehwan Yoo
Joongheon Kim
OOD
135
26
0
21 Feb 2022
Trusted AI in Multi-agent Systems: An Overview of Privacy and Security for Distributed Learning
Proceedings of the IEEE (Proc. IEEE), 2022
Chuan Ma
Jun Li
Kang Wei
Bo Liu
Ming Ding
Long Yuan
Zhu Han
H. Vincent Poor
329
69
0
18 Feb 2022
PPA: Preference Profiling Attack Against Federated Learning
Network and Distributed System Security Symposium (NDSS), 2022
Chunyi Zhou
Yansong Gao
Anmin Fu
Kai Chen
Zhiyang Dai
Zhi-Li Zhang
Minhui Xue
Yuqing Zhang
AAML
168
29
0
10 Feb 2022
Collaborative analysis of genomic data: vision and challenges
International Conference on Communications in Computing (ICCC), 2021
Sara Jafarbeiki
R. Gaire
A. Sakzad
S. K. Kermanshahi
Ron Steinfeld
91
6
0
10 Feb 2022
FedLite: A Scalable Approach for Federated Learning on Resource-constrained Clients
Jianyu Wang
Qi
A. S. Rawat
Sashank J. Reddi
Sagar M. Waghmare
Felix X. Yu
Gauri Joshi
FedML
286
32
0
28 Jan 2022
Transformers in Medical Imaging: A Survey
Fahad Shamshad
Salman Khan
Syed Waqas Zamir
Muhammad Haris Khan
Munawar Hayat
Fahad Shahbaz Khan
Huazhu Fu
ViT
LM&MA
MedIm
322
943
0
24 Jan 2022
Flexible Parallel Learning in Edge Scenarios: Communication, Computational and Energy Cost
F. Malandrino
C. Chiasserini
FedML
65
2
0
19 Jan 2022
Get your Foes Fooled: Proximal Gradient Split Learning for Defense against Model Inversion Attacks on IoMT data
IEEE Transactions on Network Science and Engineering (IEEE T-NSE), 2022
Sunder Ali Khowaja
I. Lee
Kapal Dev
M. Jarwar
N. Qureshi
AAML
218
19
0
12 Jan 2022
Feature Space Hijacking Attacks against Differentially Private Split Learning
Grzegorz Gawron
P. Stubbings
AAML
139
25
0
11 Jan 2022
Improving the Behaviour of Vision Transformers with Token-consistent Stochastic Layers
Social Science Research Network (SSRN), 2021
Nikola Popovic
D. Paudel
Thomas Probst
Luc Van Gool
353
1
0
30 Dec 2021
Distributed Machine Learning and the Semblance of Trust
Dmitrii Usynin
Alexander Ziller
Daniel Rueckert
Jonathan Passerat-Palmbach
Georgios Kaissis
127
2
0
21 Dec 2021
Levels of Autonomous Radiology
S. Ghuwalewala
V. Kulkarni
R. Pant
A. Kharat
MedIm
172
12
0
14 Dec 2021
Server-Side Local Gradient Averaging and Learning Rate Acceleration for Scalable Split Learning
Shraman Pal
Mansi Uniyal
Jihong Park
Praneeth Vepakomma
Ramesh Raskar
M. Bennis
M. Jeon
Jinho Choi
FedML
185
39
0
11 Dec 2021
AdaSplit: Adaptive Trade-offs for Resource-constrained Distributed Deep Learning
Ayush Chopra
Surya Kant Sahu
Abhishek Singh
Abhinav Java
Praneeth Vepakomma
Vivek Sharma
Ramesh Raskar
177
30
0
02 Dec 2021
ExPLoit: Extracting Private Labels in Split Learning
Sanjay Kariyappa
Moinuddin K. Qureshi
FedML
214
25
0
25 Nov 2021
Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applications
Khaled B. Letaief
Yuanming Shi
Jianmin Lu
Jianhua Lu
297
528
0
24 Nov 2021
FedCV: A Federated Learning Framework for Diverse Computer Vision Tasks
Chaoyang He
Alay Dilipbhai Shah
Zhenheng Tang
Adarshan Naiynar Sivashunmugam
Keerti Bhogaraju
Mita Shimpi
Li Shen
Xiaowen Chu
Mahdi Soltanolkotabi
Salman Avestimehr
VLM
FedML
228
81
0
22 Nov 2021
Federated Learning for Smart Healthcare: A Survey
Dinh C. Nguyen
Quoc-Viet Pham
P. Pathirana
Ming Ding
Aruna Seneviratne
Zihuai Lin
O. Dobre
Won Joo Hwang
FedML
263
731
0
16 Nov 2021
FedCG: Leverage Conditional GAN for Protecting Privacy and Maintaining Competitive Performance in Federated Learning
International Joint Conference on Artificial Intelligence (IJCAI), 2021
Yuezhou Wu
Weijing Chen
Jiahuan Luo
Yuanqin He
Qiang Yang
FedML
AAML
356
89
0
16 Nov 2021
Spatio-Temporal Split Learning for Autonomous Aerial Surveillance using Urban Air Mobility (UAM) Networks
Yoo Jeong Ha
Soyi Jung
Jae-Hyun Kim
Marco Levorato
Joongheon Kim
131
5
0
15 Nov 2021
FedFly: Towards Migration in Edge-based Distributed Federated Learning
IEEE Communications Magazine (ComMag), 2021
R. Ullah
Di Wu
P. Harvey
Peter Kilpatrick
I. Spence
Blesson Varghese
FedML
210
14
0
02 Nov 2021
Federated Split Vision Transformer for COVID-19 CXR Diagnosis using Task-Agnostic Training
Sangjoon Park
Gwanghyun Kim
Jeongsol Kim
Boah Kim
Jong Chul Ye
ViT
FedML
MedIm
270
40
0
02 Nov 2021
BitTrain: Sparse Bitmap Compression for Memory-Efficient Training on the Edge
IFIP International Information Security Conference (IFIP SEC), 2021
Abdelrahman I. Hosny
Marina Neseem
Sherief Reda
MQ
301
4
0
29 Oct 2021
Federated learning and next generation wireless communications: A survey on bidirectional relationship
Debaditya Shome
Omer Waqar
Wali Ullah Khan
219
37
0
14 Oct 2021
Application of Homomorphic Encryption in Medical Imaging
Francis Dutil
Alexandre See
Lisa Di-Jorio
F. Chandelier
MedIm
113
8
0
12 Oct 2021
An Information-Theoretic Analysis of The Cost of Decentralization for Learning and Inference Under Privacy Constraints
Sharu Theresa Jose
Osvaldo Simeone
FedML
150
0
0
11 Oct 2021
Distributed Learning Approaches for Automated Chest X-Ray Diagnosis
E. Giacomello
M. Cataldo
Daniele Loiacono
P. Lanzi
OOD
100
1
0
04 Oct 2021
FedZKT: Zero-Shot Knowledge Transfer towards Resource-Constrained Federated Learning with Heterogeneous On-Device Models
IEEE International Conference on Distributed Computing Systems (ICDCS), 2021
Lan Zhang
Dapeng Wu
Xiaoyong Yuan
FedML
229
66
0
08 Sep 2021
SplitGuard: Detecting and Mitigating Training-Hijacking Attacks in Split Learning
Ege Erdogan
Alptekin Kupcu
A. E. Cicek
AAML
147
41
0
20 Aug 2021
UnSplit: Data-Oblivious Model Inversion, Model Stealing, and Label Inference Attacks Against Split Learning
Ege Erdogan
Alptekin Kupcu
A. E. Cicek
FedML
MIACV
134
102
0
20 Aug 2021
Towards Secure and Practical Machine Learning via Secret Sharing and Random Permutation
Fei Zheng
Chaochao Chen
Xiaolin Zheng
Mingjie Zhu
FedML
140
21
0
17 Aug 2021
Spatio-Temporal Split Learning
Joongheon Kim
Seunghoon Park
Soyi Jung
Seehwan Yoo
99
11
0
13 Aug 2021
Decentralized Deep Learning for Multi-Access Edge Computing: A Survey on Communication Efficiency and Trustworthiness
IEEE Transactions on Artificial Intelligence (IEEE TAI), 2021
Yuwei Sun
H. Ochiai
Hiroshi Esaki
FedML
496
51
0
30 Jul 2021
Revealing the Landscape of Privacy-Enhancing Technologies in the Context of Data Markets for the IoT: A Systematic Literature Review
Journal of Network and Computer Applications (JNCA), 2021
Gonzalo Munilla Garrido
Johannes Sedlmeir
Ömer Uludağ
Ilias Soto Alaoui
André Luckow
Florian Matthes
222
53
0
25 Jul 2021
Communication and Computation Reduction for Split Learning using Asynchronous Training
IEEE Workshop on Signal Processing Systems (SiPS), 2021
Xing Chen
Jingtao Li
C. Chakrabarti
134
38
0
20 Jul 2021
Precision-Weighted Federated Learning
Jonatan Reyes
Di-Jorio Lisa
Cécile Low-Kam
Marta Kersten-Oertel
FedML
156
50
0
20 Jul 2021
An Experimental Study of Data Heterogeneity in Federated Learning Methods for Medical Imaging
Liangqiong Qu
N. Balachandar
D. Rubin
244
27
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
506
460
0
14 Jul 2021
Towards Representation Identical Privacy-Preserving Graph Neural Network via Split Learning
Chuanqiang Shan
Hui Jiao
Jie Fu
142
15
0
13 Jul 2021
FedAdapt: Adaptive Offloading for IoT Devices in Federated Learning
IEEE Internet of Things Journal (IEEE IoT Journal), 2021
Di Wu
R. Ullah
P. Harvey
Peter Kilpatrick
I. Spence
Blesson Varghese
358
113
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
251
24
0
24 Jun 2021
A Vertical Federated Learning Framework for Horizontally Partitioned Labels
Wensheng Xia
Ying Li
Lan Zhang
Zhonghai Wu
Xiaoyong Yuan
FedML
151
15
0
18 Jun 2021
A Coupled Design of Exploiting Record Similarity for Practical Vertical Federated Learning
Neural Information Processing Systems (NeurIPS), 2021
Zhaomin Wu
Qinbin Li
Bingsheng He
FedML
277
23
0
11 Jun 2021
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