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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
Split Learning for Distributed Collaborative Training of Deep Learning Models in Health Informatics
Zhuohang Li
Chao Yan
Xinmeng Zhang
Gharib Gharibi
Zhijun Yin
Xiaoqian Jiang
B. Malin
FedML
136
19
0
21 Aug 2023
GradientCoin: A Peer-to-Peer Decentralized Large Language Models
Yeqi Gao
Zhao Song
Junze Yin
179
23
0
21 Aug 2023
Split Unlearning
Guangsheng Yu
Xu Wang
Caijun Sun
Xu Wang
Baihe Ma
Caijun Sun
Wei Ni
Ren Ping Liu
MU
355
7
0
21 Aug 2023
FedSIS: Federated Split Learning with Intermediate Representation Sampling for Privacy-preserving Generalized Face Presentation Attack Detection
Naif Alkhunaizi
K. Srivatsan
Faris Almalik
Ibrahim Almakky
Karthik Nandakumar
FedML
433
1
0
20 Aug 2023
Defending Label Inference Attacks in Split Learning under Regression Setting
Haoze Qiu
Fei Zheng
Chaochao Chen
Xiaolin Zheng
FedML
AAML
152
4
0
18 Aug 2023
Optimal Resource Allocation for U-Shaped Parallel Split Learning
Song Lyu
Zhengyi Lin
Guanqiao Qu
Xianhao Chen
Xiaoxia Huang
P. Li
312
40
0
17 Aug 2023
When Federated Learning meets Watermarking: A Comprehensive Overview of Techniques for Intellectual Property Protection
Machine Learning and Knowledge Extraction (MLKE), 2023
Mohammed Lansari
Reda Bellafqira
K. Kapusta
V. Thouvenot
Olivier Bettan
Reda Bellafqira
FedML
136
29
0
07 Aug 2023
On the Trustworthiness Landscape of State-of-the-art Generative Models: A Survey and Outlook
International Journal of Computer Vision (IJCV), 2023
Mingyuan Fan
Chengyu Wang
Cen Chen
Yang Liu
Jun Huang
HILM
324
14
0
31 Jul 2023
SplitFed resilience to packet loss: Where to split, that is the question
C. Shiranthika
Zahra Hafezi Kafshgari
Parvaneh Saeedi
Ivan V. Bajić
209
4
0
25 Jul 2023
Training Latency Minimization for Model-Splitting Allowed Federated Edge Learning
IEEE Transactions on Network Science and Engineering (IEEE T-NSE), 2023
Yao Wen
GuoPeng Zhang
Kezhi Wang
Kun Yang
FedML
263
8
0
21 Jul 2023
Communication-Efficient Split Learning via Adaptive Feature-Wise Compression
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023
Yong-Nam Oh
Jaeho Lee
Christopher G. Brinton
Yo-Seb Jeon
MQ
340
15
0
20 Jul 2023
On the Robustness of Split Learning against Adversarial Attacks
European Conference on Artificial Intelligence (ECAI), 2023
Mingyuan Fan
Cen Chen
Chengyu Wang
Wenmeng Zhou
Yanjie Liang
AAML
174
12
0
16 Jul 2023
Towards Open Federated Learning Platforms: Survey and Vision from Technical and Legal Perspectives
Moming Duan
Qinbin Li
Linshan Jiang
Bingsheng He
FedML
440
5
0
05 Jul 2023
VertiBench: Advancing Feature Distribution Diversity in Vertical Federated Learning Benchmarks
International Conference on Learning Representations (ICLR), 2023
Zhaomin Wu
Junyi Hou
Bin He
FedML
373
7
0
05 Jul 2023
Analyzing the vulnerabilities in SplitFed Learning: Assessing the robustness against Data Poisoning Attacks
Aysha Thahsin Zahir Ismail
R. Shukla
AAML
FedML
204
7
0
04 Jul 2023
Secure and Fast Asynchronous Vertical Federated Learning via Cascaded Hybrid Optimization
Machine-mediated learning (ML), 2023
Ganyu Wang
Qingsong Zhang
Li Xiang
Boyu Wang
Bin Gu
Charles Ling
FedML
266
6
0
28 Jun 2023
FeSViBS: Federated Split Learning of Vision Transformer with Block Sampling
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023
Faris Almalik
Naif Alkhunaizi
Ibrahim Almakky
Karthik Nandakumar
FedML
MedIm
199
14
0
26 Jun 2023
Split Learning in 6G Edge Networks
IEEE wireless communications (IEEE Wireless Commun.), 2023
Zhengyi Lin
Guanqiao Qu
Xianhao Chen
Kaibin Huang
338
127
0
21 Jun 2023
Leveraging The Edge-to-Cloud Continuum for Scalable Machine Learning on Decentralized Data
A. Abdelmoniem
138
1
0
19 Jun 2023
Unraveling the Interconnected Axes of Heterogeneity in Machine Learning for Democratic and Inclusive Advancements
Conference on Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO), 2023
Maryam Molamohammadi
Afaf Taik
Nicolas Le Roux
G. Farnadi
198
2
0
11 Jun 2023
Improving Accelerated Federated Learning with Compression and Importance Sampling
Michal Grudzieñ
Grigory Malinovsky
Peter Richtárik
FedML
281
11
0
05 Jun 2023
Reducing Communication for Split Learning by Randomized Top-k Sparsification
International Joint Conference on Artificial Intelligence (IJCAI), 2023
Fei Zheng
Chaochao Chen
Lingjuan Lyu
Binhui Yao
FedML
203
27
0
29 May 2023
When Computing Power Network Meets Distributed Machine Learning: An Efficient Federated Split Learning Framework
International Workshop on Quality of Service (IWQoS), 2023
Xinjing Yuan
Lingjun Pu
Lei Jiao
Xiaofei Wang
Mei Yang
Jingdong Xu
FedML
149
11
0
22 May 2023
FedAds: A Benchmark for Privacy-Preserving CVR Estimation with Vertical Federated Learning
Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2023
Penghui Wei
Hongjian Dou
Shaoguo Liu
Rong Tang
Li Liu
Liangji Wang
Bo Zheng
FedML
196
16
0
15 May 2023
Bounding the Invertibility of Privacy-preserving Instance Encoding using Fisher Information
Neural Information Processing Systems (NeurIPS), 2023
Kiwan Maeng
Chuan Guo
Sanjay Kariyappa
G. E. Suh
226
13
0
06 May 2023
HTPS: Heterogeneous Transferring Prediction System for Healthcare Datasets
International Euromicro Conference on Parallel, Distributed and Network-Based Processing (PDP), 2023
Jia-Hao Syu
Chun-Wei Lin
M. Fojcik
Rafał Cupek
96
2
0
02 May 2023
Quality-Adaptive Split-Federated Learning for Segmenting Medical Images with Inaccurate Annotations
IEEE International Symposium on Biomedical Imaging (ISBI), 2023
Zahra Hafezi Kafshgari
C. Shiranthika
Parvaneh Saeedi
Ivan V. Bajić
FedML
187
6
0
28 Apr 2023
FedVS: Straggler-Resilient and Privacy-Preserving Vertical Federated Learning for Split Models
IACR Cryptology ePrint Archive (IACR ePrint), 2023
Songze Li
Duanyi Yao
Jin Liu
FedML
350
46
0
26 Apr 2023
Vehicle as a Service (VaaS): Leverage Vehicles to Build Service Networks and Capabilities for Smart Cities
IEEE Communications Surveys and Tutorials (COMST), 2023
Xianhao Chen
Yiqin Deng
Haichuan Ding
Guanqiao Qu
Haixia Zhang
P. Li
Yuguang Fang
GNN
279
76
0
22 Apr 2023
BadVFL: Backdoor Attacks in Vertical Federated Learning
IEEE Symposium on Security and Privacy (IEEE S&P), 2023
Mohammad Naseri
Yufei Han
Emiliano De Cristofaro
FedML
AAML
235
25
0
18 Apr 2023
EcoFed: Efficient Communication for DNN Partitioning-based Federated Learning
IEEE Transactions on Parallel and Distributed Systems (TPDS), 2023
Di Wu
R. Ullah
Philip Rodgers
Peter Kilpatrick
I. Spence
Blesson Varghese
FedML
313
8
0
11 Apr 2023
A Survey on Vertical Federated Learning: From a Layered Perspective
Liu Yang
Di Chai
Junxue Zhang
Yilun Jin
Leye Wang
Hao Liu
Han Tian
Qian Xu
Kai Chen
FedML
250
41
0
04 Apr 2023
SLPerf: a Unified Framework for Benchmarking Split Learning
Tianchen Zhou
Zhanyi Hu
Bingzhe Wu
Cen Chen
FedML
312
7
0
04 Apr 2023
FedIN: Federated Intermediate Layers Learning for Model Heterogeneity
Yun-Hin Chan
Zhihan Jiang
Jing Deng
Edith C.H. Ngai
FedML
331
1
0
03 Apr 2023
Communication-Efficient Vertical Federated Learning with Limited Overlapping Samples
IEEE International Conference on Computer Vision (ICCV), 2023
Jingwei Sun
Ziyue Xu
Dong Yang
V. Nath
Wenqi Li
Can Zhao
Daguang Xu
Yiran Chen
H. Roth
FedML
213
26
0
28 Mar 2023
A Generalized Look at Federated Learning: Survey and Perspectives
Taki Hasan Rafi
Faiza Anan Noor
Tahmid Hussain
Dong-Kyu Chae
Zhaohui Yang
OOD
FedML
174
1
0
26 Mar 2023
Efficient Parallel Split Learning over Resource-constrained Wireless Edge Networks
IEEE Transactions on Mobile Computing (IEEE TMC), 2023
Zhengyi Lin
Guangyu Zhu
Yiqin Deng
Xianhao Chen
Yue Gao
Kaibin Huang
Yuguang Fang
384
182
0
26 Mar 2023
Federated Learning without Full Labels: A Survey
IEEE Data Engineering Bulletin (IEEE Data Eng. Bull.), 2023
Yilun Jin
Yang Liu
Kai Chen
Qian Yang
FedML
217
36
0
25 Mar 2023
PFSL: Personalized & Fair Split Learning with Data & Label Privacy for thin clients
IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGrid), 2023
Manas Wadhwa
Gagan Raj Gupta
Ashutosh Sahu
Rahul Saini
Vidhi Mittal
FedML
203
9
0
19 Mar 2023
Applications of Federated Learning in Manufacturing: Identifying the Challenges and Exploring the Future Directions with Industry 4.0 and 5.0 Visions
Proceedings of the International Conference on Industrial Engineering and Operations Management (IEOM), 2023
Farzana Islam
Ahmed Shoyeb Raihan
Imtiaz Ahmed
FedML
AI4CE
175
11
0
27 Feb 2023
On Feasibility of Server-side Backdoor Attacks on Split Learning
Behrad Tajalli
Oguzhan Ersoy
S. Picek
FedML
SILM
274
12
0
19 Feb 2023
SplitOut: Out-of-the-Box Training-Hijacking Detection in Split Learning via Outlier Detection
Cryptology and Network Security (CANS), 2023
Ege Erdogan
Unat Teksen
Mehmet Salih Celiktenyildiz
Alptekin Kupcu
A. E. Cicek
300
7
0
16 Feb 2023
A Comprehensive Review and a Taxonomy of Edge Machine Learning: Requirements, Paradigms, and Techniques
Applied Informatics (AI), 2023
Wenbin Li
Hakim Hacid
Ebtesam Almazrouei
Merouane Debbah
343
20
0
16 Feb 2023
Topology-aware Federated Learning in Edge Computing: A Comprehensive Survey
ACM Computing Surveys (ACM Comput. Surv.), 2023
Jiajun Wu
Steve Drew
Fan Dong
Zhuangdi Zhu
Jiayu Zhou
FedML
323
98
0
06 Feb 2023
GAN-based Vertical Federated Learning for Label Protection in Binary Classification
Yujin Han
Leying Guan
FedML
241
0
0
04 Feb 2023
Multi-limb Split Learning for Tumor Classification on Vertically Distributed Data
International Conference on the Internet, Cyber Security and Information Systems (ICSIS), 2021
Omar S. Ads
Mayar M. Alfares
Mohammed Abdel-Megeed Salem
165
13
0
27 Jan 2023
Split Ways: Privacy-Preserving Training of Encrypted Data Using Split Learning
EDBT/ICDT Workshops (EDBT/ICDT), 2023
Tanveer Khan
Khoa Nguyen
A. Michalas
100
29
0
20 Jan 2023
Label Inference Attack against Split Learning under Regression Setting
Shangyu Xie
Xin Yang
Yuanshun Yao
Tianyi Liu
Taiqing Wang
Jiankai Sun
FedML
216
12
0
18 Jan 2023
Distributed Machine Learning for UAV Swarms: Computing, Sensing, and Semantics
IEEE Internet of Things Journal (IEEE IoT J.), 2023
Yahao Ding
Zhaohui Yang
Quoc-Viet Pham
Zhaoyang Zhang
M. Shikh-Bahaei
204
66
0
03 Jan 2023
SplitGP: Achieving Both Generalization and Personalization in Federated Learning
IEEE Conference on Computer Communications (INFOCOM), 2022
Dong-Jun Han
Do-Yeon Kim
Minseok Choi
Christopher G. Brinton
Jaekyun Moon
FedML
197
51
0
16 Dec 2022
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