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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
Communication-Efficient Training Workload Balancing for Decentralized Multi-Agent Learning
Seyed Mahmoud Sajjadi Mohammadabadi
Lei Yang
Feng Yan
Junshan Zhang
213
16
0
01 May 2024
PackVFL: Efficient HE Packing for Vertical Federated Learning
Liu Yang
Shuowei Cai
Di Chai
Junxue Zhang
Han Tian
Yilun Jin
Kun Guo
Kai Chen
Qiang Yang
FedML
219
1
0
01 May 2024
TabVFL: Improving Latent Representation in Vertical Federated Learning
Mohamed Rashad
Zilong Zhao
Jérémie Decouchant
Lydia Y. Chen
FedML
279
1
0
27 Apr 2024
Implementation of Big AI Models for Wireless Networks with Collaborative Edge Computing
Liekang Zeng
Shengyuan Ye
Xu Chen
Yang Yang
198
21
0
27 Apr 2024
SECO: Secure Inference With Model Splitting Across Multi-Server Hierarchy
Shuangyi Chen
Ashish Khisti
175
4
0
24 Apr 2024
Automated Federated Pipeline for Parameter-Efficient Fine-Tuning of Large Language Models
Zihan Fang
Zheng Lin
Zhe Chen
Xianhao Chen
Yue Gao
Yuguang Fang
264
51
0
09 Apr 2024
Generalized Policy Learning for Smart Grids: FL TRPO Approach
Yunxiang Li
Nicolas Mauricio Cuadrado
Samuel Horváth
Martin Takáč
156
0
0
27 Mar 2024
Empowering Data Mesh with Federated Learning
Haoyuan Li
Salman Toor
AI4CE
118
4
0
26 Mar 2024
Distributed collaborative anomalous sound detection by embedding sharing
Kota Dohi
Yohei Kawaguchi
FedML
159
2
0
25 Mar 2024
Heterogeneous Federated Learning with Splited Language Model
Yifan Shi
Yuhui Zhang
Ziyue Huang
Xiaofeng Yang
Li Shen
Wei Chen
Xueqian Wang
FedML
279
2
0
24 Mar 2024
TablePuppet: A Generic Framework for Relational Federated Learning
Lijie Xu
Chulin Xie
Yiran Guo
Gustavo Alonso
Yue Liu
Guoliang Li
Wei Wang
Wentao Wu
Ce Zhang
FedML
241
0
0
23 Mar 2024
Improving Robustness to Model Inversion Attacks via Sparse Coding Architectures
S. V. Dibbo
Adam Breuer
Juston S. Moore
Michael Teti
AAML
257
7
0
21 Mar 2024
AdaptSFL: Adaptive Split Federated Learning in Resource-constrained Edge Networks
Zhengyi Lin
Guanqiao Qu
Wei Wei
Xianhao Chen
Kin K. Leung
541
85
0
19 Mar 2024
Privacy-Preserving Collaborative Split Learning Framework for Smart Grid Load Forecasting
Asif Iqbal
P. Gope
Biplab Sikdar
356
5
0
03 Mar 2024
ESFL: Efficient Split Federated Learning over Resource-Constrained Heterogeneous Wireless Devices
Guangyu Zhu
Yiqin Deng
Xianhao Chen
Haixia Zhang
Yuguang Fang
Tan F. Wong
FedML
160
31
0
24 Feb 2024
NeuroFlux: Memory-Efficient CNN Training Using Adaptive Local Learning
Dhananjay Saikumar
Blesson Varghese
238
2
0
21 Feb 2024
Workflow Optimization for Parallel Split Learning
Joana Tirana
Dimitra Tsigkari
Georgios Iosifidis
Dimitris Chatzopoulos
134
8
0
01 Feb 2024
MP-SL: Multihop Parallel Split Learning
Joana Tirana
S. Lalis
Dimitris Chatzopoulos
243
4
0
31 Jan 2024
AccidentGPT: Large Multi-Modal Foundation Model for Traffic Accident Analysis
Kebin Wu
Wenbin Li
Xiaofei Xiao
123
15
0
05 Jan 2024
AIJack: Let's Hijack AI! Security and Privacy Risk Simulator for Machine Learning
Hideaki Takahashi
SILM
274
2
0
29 Dec 2023
Holonic Learning: A Flexible Agent-based Distributed Machine Learning Framework
Adaptive Agents and Multi-Agent Systems (AAMAS), 2023
Ahmad Esmaeili
Zahra Ghorrati
Eric T. Matson
172
1
0
29 Dec 2023
A Split-and-Privatize Framework for Large Language Model Fine-Tuning
Xicong Shen
Yang Liu
Huiqi Liu
Jue Hong
Bing Duan
Zirui Huang
Yunlong Mao
Ye Wu
Di Wu
175
23
0
25 Dec 2023
ElasticTrainer: Speeding Up On-Device Training with Runtime Elastic Tensor Selection
Kai Huang
Boyuan Yang
Wei Gao
244
30
0
21 Dec 2023
MISA: Unveiling the Vulnerabilities in Split Federated Learning
Wei Wan
Yuxuan Ning
Shengshan Hu
Lulu Xue
Minghui Li
Leo Yu Zhang
Hai Jin
133
9
0
18 Dec 2023
Speed Up Federated Learning in Heterogeneous Environment: A Dynamic Tiering Approach
Seyed Mahmoud Sajjadi Mohammadabadi
Syed Zawad
Feng Yan
Lei Yang
FedML
242
8
0
09 Dec 2023
All Rivers Run to the Sea: Private Learning with Asymmetric Flows
Computer Vision and Pattern Recognition (CVPR), 2023
Yue Niu
Ramy E. Ali
Saurav Prakash
Salman Avestimehr
FedML
354
3
0
05 Dec 2023
MergeSFL: Split Federated Learning with Feature Merging and Batch Size Regulation
IEEE International Conference on Data Engineering (ICDE), 2023
Yunming Liao
Yang Xu
Hong-Ze Xu
Lun Wang
Zhiwei Yao
C. Qiao
FedML
MoMe
318
26
0
22 Nov 2023
Have Your Cake and Eat It Too: Toward Efficient and Accurate Split Federated Learning
Dengke Yan
Ming Hu
Zeke Xia
Yanxin Yang
Jun Xia
Xiaofei Xie
Xiao He
FedML
202
7
0
22 Nov 2023
ECLM: Efficient Edge-Cloud Collaborative Learning with Continuous Environment Adaptation
Zhuang Yan
Zhenzhe Zheng
Yunfeng Shao
Bingshuai Li
Fan Wu
Guihai Chen
169
7
0
18 Nov 2023
Straggler-resilient Federated Learning: Tackling Computation Heterogeneity with Layer-wise Partial Model Training in Mobile Edge Network
Student Member Ieee Hongda Wu
F. I. C. V. Ping Wang
Aswartha Narayana
FedML
289
5
0
16 Nov 2023
AccEPT: An Acceleration Scheme for Speeding Up Edge Pipeline-parallel Training
IEEE Transactions on Mobile Computing (IEEE TMC), 2023
Yuhao Chen
Yuxuan Yan
Qianqian Yang
Yuanchao Shu
Shibo He
Zhiguo Shi
Jiming Chen
196
5
0
10 Nov 2023
Edge-assisted U-Shaped Split Federated Learning with Privacy-preserving for Internet of Things
Hengliang Tang
Zihang Zhao
Detian Liu
Yang Cao
Shiqiang Zhang
Siqing You
220
3
0
08 Nov 2023
Input Reconstruction Attack against Vertical Federated Large Language Models
Fei Zheng
FedML
170
8
0
07 Nov 2023
Weighted Sampled Split Learning (WSSL): Balancing Privacy, Robustness, and Fairness in Distributed Learning Environments
International Conference on Parallel and Distributed Systems (ICPADS), 2023
Manish Osti
Aashray Thakuri
Basheer Qolomany
Aos Mulahuwaish
162
2
0
27 Oct 2023
Accelerating Split Federated Learning over Wireless Communication Networks
IEEE Transactions on Wireless Communications (IEEE TWC), 2023
Ce Xu
Jinxuan Li
Yuan Liu
Yushi Ling
Miaowen Wen
FedML
188
61
0
24 Oct 2023
CRaSh: Clustering, Removing, and Sharing Enhance Fine-tuning without Full Large Language Model
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Kaiyan Zhang
Ning Ding
Biqing Qi
Xuekai Zhu
Xinwei Long
Bowen Zhou
264
5
0
24 Oct 2023
FedSplitX: Federated Split Learning for Computationally-Constrained Heterogeneous Clients
Jiyun Shin
Jinhyun Ahn
Honggu Kang
Joonhyuk Kang
FedML
202
7
0
23 Oct 2023
Enhancing Accuracy-Privacy Trade-off in Differentially Private Split Learning
IEEE Transactions on Emerging Topics in Computational Intelligence (TETCI), 2023
Ngoc Duy Pham
K. Phan
Naveen Chilamkurti
207
13
0
22 Oct 2023
Effective and Efficient Federated Tree Learning on Hybrid Data
International Conference on Learning Representations (ICLR), 2023
Qinbin Li
Chulin Xie
Xiaojun Xu
Xiaoyuan Liu
Ce Zhang
Yue Liu
Bingsheng He
Basel Alomair
FedML
225
4
0
18 Oct 2023
Passive Inference Attacks on Split Learning via Adversarial Regularization
Network and Distributed System Security Symposium (NDSS), 2023
Xiaochen Zhu
Xinjian Luo
Yuncheng Wu
Yangfan Jiang
Xiaokui Xiao
Beng Chin Ooi
FedML
349
11
0
16 Oct 2023
Semantics Alignment via Split Learning for Resilient Multi-User Semantic Communication
Jinhyuk Choi
Jihong Park
Seung-Woo Ko
Jinho Choi
M. Bennis
Seong-Lyun Kim
184
10
0
13 Oct 2023
Split-and-Denoise: Protect large language model inference with local differential privacy
Peihua Mai
Ran Yan
Zhe Huang
Youjia Yang
Yan Pang
251
28
0
13 Oct 2023
Collaborative Distributed Machine Learning
ACM Computing Surveys (ACM Comput. Surv.), 2023
Sumit Kumar Jha
Patrick Lincoln
Sascha Rank
Ali Sunyaev
394
5
0
28 Sep 2023
Pushing Large Language Models to the 6G Edge: Vision, Challenges, and Opportunities
IEEE Communications Magazine (IEEE Commun. Mag.), 2023
Zhengyi Lin
Guanqiao Qu
Qiyuan Chen
Randy Sarayar
Zhe Chen
Kaibin Huang
505
153
0
28 Sep 2023
Love or Hate? Share or Split? Privacy-Preserving Training Using Split Learning and Homomorphic Encryption
Conference on Privacy, Security and Trust (PST), 2023
Tanveer Khan
Khoa Nguyen
A. Michalas
Alexandros Bakas
FedML
104
20
0
19 Sep 2023
A More Secure Split: Enhancing the Security of Privacy-Preserving Split Learning
Nordic Conference on Secure IT Systems (NordSec), 2023
Tanveer Khan
Khoa Nguyen
A. Michalas
123
12
0
15 Sep 2023
Approximating ReLU on a Reduced Ring for Efficient MPC-based Private Inference
Kiwan Maeng
G. E. Suh
202
4
0
09 Sep 2023
Split Without a Leak: Reducing Privacy Leakage in Split Learning
Security and Privacy in Communication Networks (SecureComm), 2023
Khoa Nguyen
Tanveer Khan
A. Michalas
FedML
142
12
0
30 Aug 2023
Federated Learning for Computer Vision
Yassine Himeur
Iraklis Varlamis
Hamza Kheddar
Abbes Amira
Shadi Atalla
Yashbir Singh
F. Bensaali
Shadi Atalla
FedML
216
46
0
24 Aug 2023
When MiniBatch SGD Meets SplitFed Learning:Convergence Analysis and Performance Evaluation
Chao Huang
Geng Tian
Ming Tang
FedML
211
6
0
23 Aug 2023
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