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2008.06197
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Federated Doubly Stochastic Kernel Learning for Vertically Partitioned Data
14 August 2020
Bin Gu
Zhiyuan Dang
Xiang Li
Heng-Chiao Huang
FedML
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Papers citing
"Federated Doubly Stochastic Kernel Learning for Vertically Partitioned Data"
36 / 36 papers shown
PubSub-VFL: Towards Efficient Two-Party Split Learning in Heterogeneous Environments via Publisher/Subscriber Architecture
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Leqian Zheng
Jue Hong
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Qingyou Yang
Ye Wu
Cong Wang
166
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Tree-based Models for Vertical Federated Learning: A Survey
ACM Computing Surveys (ACM Comput. Surv.), 2025
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Bolin Ding
Jingren Zhou
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03 Apr 2025
Effective and Efficient Cross-City Traffic Knowledge Transfer: A Privacy-Preserving Perspective
Zhihao Zeng
Ziquan Fang
Yuting Huang
Lu Chen
Yunjun Gao
702
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15 Mar 2025
Concurrent vertical and horizontal federated learning with fuzzy cognitive maps
Jose L. Salmeron
Irina Arévalo
FedML
399
2
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17 Dec 2024
Just a Simple Transformation is Enough for Data Protection in Vertical Federated Learning
Andrei Semenov
Philip Zmushko
Alexander Pichugin
Aleksandr Beznosikov
267
0
0
16 Dec 2024
Membership Inference Attacks and Defenses in Federated Learning: A Survey
ACM Computing Surveys (ACM CSUR), 2024
Li Bai
Haibo Hu
Qingqing Ye
Haoyang Li
Leixia Wang
Jianliang Xu
FedML
317
88
0
09 Dec 2024
De-VertiFL: A Solution for Decentralized Vertical Federated Learning
IEEE/IFIP Network Operations and Management Symposium (NOMS), 2024
Alberto Huertas Celdrán
Chao Feng
Sabyasachi Banik
Gérome Bovet
Gregorio Martínez Pérez
Burkhard Stiller
FedML
288
0
0
08 Oct 2024
Vertical Federated Learning for Effectiveness, Security, Applicability: A Survey
Mang Ye
Wei Shen
Bo Du
E. Snezhko
Vassili Kovalev
PongChi Yuen
FedML
383
33
0
25 May 2024
Blind Federated Learning without initial model
Jose L. Salmeron
Irina Arévalo
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202
13
0
24 Apr 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
274
0
0
23 Mar 2024
A Survey of Privacy Threats and Defense in Vertical Federated Learning: From Model Life Cycle Perspective
Lei Yu
Meng Han
Yiming Li
Changting Lin
Yao Zhang
...
Yan Liu
Haiqin Weng
Yuseok Jeon
Ka-Ho Chow
Stacy Patterson
FedML
336
10
0
06 Feb 2024
Survey of Privacy Threats and Countermeasures in Federated Learning
M. Hayashitani
Junki Mori
Isamu Teranishi
FedML
430
2
0
01 Feb 2024
Robust and Communication-Efficient Federated Domain Adaptation via Random Features
Zhanbo Feng
Yuanjie Wang
Jie Li
Fan Yang
Jiong Lou
Tiebin Mi
Robert C. Qiu
Zhenyu Liao
243
5
0
08 Nov 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
460
7
0
05 Jul 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
300
42
0
04 Apr 2023
Distributed and Deep Vertical Federated Learning with Big Data
Concurrency and Computation (CCPE), 2023
Ji Liu
Xuehai Zhou
L. Mo
Shilei Ji
Yuan Liao
Tianying Wang
Qinhua Gu
Dejing Dou
FedML
311
20
0
08 Mar 2023
Vertical Federated Learning: Concepts, Advances and Challenges
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2022
Yang Liu
Weijing Chen
Tianyuan Zou
Yanhong Pu
Yuanqin He
Xiaozhou Ye
Ye Ouyang
Yaqin Zhang
Qian Yang
FedML
537
333
0
23 Nov 2022
Trading Off Privacy, Utility and Efficiency in Federated Learning
ACM Transactions on Intelligent Systems and Technology (ACM TIST), 2022
Xiaojin Zhang
Weijing Chen
Kai Chen
Lixin Fan
Qiang Yang
FedML
494
75
0
01 Sep 2022
Differentially Private Vertical Federated Clustering
Proceedings of the VLDB Endowment (PVLDB), 2022
Zitao Li
Tianhao Wang
Ninghui Li
FedML
329
26
0
02 Aug 2022
Improving Privacy-Preserving Vertical Federated Learning by Efficient Communication with ADMM
Chulin Xie
Pin-Yu Chen
Qinbin Li
Arash Nourian
Ce Zhang
Bo Li
FedML
296
22
0
20 Jul 2022
Is Vertical Logistic Regression Privacy-Preserving? A Comprehensive Privacy Analysis and Beyond
Yuzheng Hu
Tianle Cai
Jinyong Shan
Shange Tang
Chaochao Cai
Ethan Song
Yue Liu
Basel Alomair
FedML
AAML
194
10
0
19 Jul 2022
FedGBF: An efficient vertical federated learning framework via gradient boosting and bagging
Yujin Han
Pan Du
Kai Yang
FedML
299
15
0
03 Apr 2022
Continual Horizontal Federated Learning for Heterogeneous Data
IEEE International Joint Conference on Neural Network (IJCNN), 2022
Junki Mori
Isamu Teranishi
Ryo Furukawa
FedML
243
15
0
04 Mar 2022
Vertical Federated Learning: Challenges, Methodologies and Experiments
Kang Wei
Jun Li
Chuan Ma
Ming Ding
Sha Wei
Fan Wu
Guihai Chen
Thilina Ranbaduge
FedML
248
117
0
09 Feb 2022
An Efficient and Robust System for Vertically Federated Random Forest
Houpu Yao
Jiazhou Wang
Peng Dai
Liefeng Bo
Yanqing Chen
FedML
226
15
0
26 Jan 2022
Efficient Batch Homomorphic Encryption for Vertically Federated XGBoost
Wuxing Xu
Hao Fan
Kaixin Li
Kairan Yang
FedML
135
17
0
08 Dec 2021
Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applications
Khaled B. Letaief
Yuanming Shi
Jianmin Lu
Jianhua Lu
376
569
0
24 Nov 2021
A Vertical Federated Learning Method For Multi-Institutional Credit Scoring: MICS
Yusuf Efe
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197
5
0
17 Nov 2021
DVFL: A Vertical Federated Learning Method for Dynamic Data
Yuzhi Liang
Yixiang Chen
FedML
174
2
0
05 Nov 2021
Trustworthy AI: From Principles to Practices
Yue Liu
Peng Qi
Bo Liu
Shuai Di
Jingen Liu
Jiquan Pei
Jinfeng Yi
Bowen Zhou
571
582
0
04 Oct 2021
A Vertical Federated Learning Framework for Horizontally Partitioned Labels
Wensheng Xia
Ying Li
Lan Zhang
Zhonghai Wu
Xiaoyong Yuan
FedML
203
15
0
18 Jun 2021
Fed-EINI: An Efficient and Interpretable Inference Framework for Decision Tree Ensembles in Federated Learning
Xiaolin Chen
Shuai Zhou
Bei Guan
Kai Yang
Hao Fao
Hu. Wang
Yongji Wang
FedML
616
19
0
20 May 2021
An Efficient Learning Framework For Federated XGBoost Using Secret Sharing And Distributed Optimization
ACM Transactions on Intelligent Systems and Technology (ACM TIST), 2021
Lunchen Xie
Jiaqi Liu
Songtao Lu
Tsung-Hui Chang
Qingjiang Shi
FedML
206
48
0
12 May 2021
FedV: Privacy-Preserving Federated Learning over Vertically Partitioned Data
Runhua Xu
Nathalie Baracaldo
Yi Zhou
Ali Anwar
J. Joshi
Heiko Ludwig
FedML
274
96
0
05 Mar 2021
Secure Bilevel Asynchronous Vertical Federated Learning with Backward Updating
AAAI Conference on Artificial Intelligence (AAAI), 2021
Qingsong Zhang
Bin Gu
Cheng Deng
Heng-Chiao Huang
FedML
143
80
0
01 Mar 2021
FedEval: A Holistic Evaluation Framework for Federated Learning
Di Chai
Leye Wang
Liu Yang
Junxue Zhang
Kai Chen
Qian Yang
FedML
320
17
0
19 Nov 2020
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