Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2008.06170
Cited By
Privacy Preserving Vertical Federated Learning for Tree-based Models
14 August 2020
Yuncheng Wu
Shaofeng Cai
Xiaokui Xiao
Gang Chen
Beng Chin Ooi
FedML
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Privacy Preserving Vertical Federated Learning for Tree-based Models"
34 / 34 papers shown
Title
Privacy Risks and Preservation Methods in Explainable Artificial Intelligence: A Scoping Review
Sonal Allana
Mohan Kankanhalli
Rozita Dara
32
0
0
05 May 2025
Feature Inference Attack on Shapley Values
Xinjian Luo
Yangfan Jiang
X. Xiao
AAML
FAtt
46
19
0
16 Jul 2024
SecureBoost Hyperparameter Tuning via Multi-Objective Federated Learning
Ziyao Ren
Yan Kang
Lixin Fan
Linghua Yang
Yongxin Tong
Qiang Yang
FedML
50
3
0
20 Jul 2023
Privet: A Privacy-Preserving Vertical Federated Learning Service for Gradient Boosted Decision Tables
Yifeng Zheng
Shuangqing Xu
Songlei Wang
Yan Gao
Zhongyun Hua
FedML
25
10
0
22 May 2023
Federated Learning over Harmonized Data Silos
Dimitris Stripelis
J. Ambite
FedML
23
2
0
15 May 2023
Robust and IP-Protecting Vertical Federated Learning against Unexpected Quitting of Parties
Jingwei Sun
Zhixu Du
Anna Dai
Saleh Baghersalimi
Alireza Amirshahi
David Atienza
Yiran Chen
FedML
21
8
0
28 Mar 2023
A Survey of Trustworthy Federated Learning with Perspectives on Security, Robustness, and Privacy
Yifei Zhang
Dun Zeng
Jinglong Luo
Zenglin Xu
Irwin King
FedML
84
48
0
21 Feb 2023
Vertical Federated Knowledge Transfer via Representation Distillation for Healthcare Collaboration Networks
Chung-ju Huang
Leye Wang
Xiao Han
FedML
35
24
0
11 Feb 2023
Vertical Federated Learning: Taxonomies, Threats, and Prospects
Qun Li
Chandra Thapa
Lawrence Ong
Yifeng Zheng
Hua Ma
S. Çamtepe
Anmin Fu
Yan Gao
FedML
49
10
0
03 Feb 2023
Vertical Federated Learning: A Structured Literature Review
Afsana Khan
M. T. Thij
A. Wilbik
FedML
55
10
0
01 Dec 2022
Vertical Federated Learning: Concepts, Advances and Challenges
Yang Liu
Yan Kang
Tianyuan Zou
Yanhong Pu
Yuanqin He
Xiaozhou Ye
Ye Ouyang
Yaqin Zhang
Qian Yang
FedML
64
162
0
23 Nov 2022
Vertical Federated Linear Contextual Bandits
Zeyu Cao
Zhipeng Liang
Shu Zhen Zhang
Hang Li
Ouyang Wen
Yu Rong
P. Zhao
Bing Wu
FedML
27
0
0
20 Oct 2022
Practical Vertical Federated Learning with Unsupervised Representation Learning
Zhaomin Wu
Yue Liu
Bingsheng He
FedML
38
38
0
13 Aug 2022
Differentially Private Vertical Federated Clustering
Zitao Li
Tianhao Wang
Ninghui Li
FedML
36
18
0
02 Aug 2022
Towards Communication-efficient Vertical Federated Learning Training via Cache-enabled Local Updates
Fangcheng Fu
Xupeng Miao
Jiawei Jiang
Huanran Xue
Bin Cui
FedML
32
21
0
29 Jul 2022
UniFed: All-In-One Federated Learning Platform to Unify Open-Source Frameworks
Xiaoyuan Liu
Tianneng Shi
Chulin Xie
Qinbin Li
Kangping Hu
...
The-Anh Vu-Le
Zhen Huang
Arash Nourian
Bo-wen Li
D. Song
FedML
32
8
0
21 Jul 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
42
16
0
20 Jul 2022
BlindFL: Vertical Federated Machine Learning without Peeking into Your Data
Fangcheng Fu
Huanran Xue
Yong Cheng
Yangyu Tao
Bin Cui
FedML
26
59
0
16 Jun 2022
The Metaverse Data Deluge: What Can We Do About It?
Beng Chin Ooi
Gang Chen
Mike Zheng Shou
K. Tan
A. Tung
X. Xiao
J. Yip
Meihui Zhang
31
10
0
14 Jun 2022
FairVFL: A Fair Vertical Federated Learning Framework with Contrastive Adversarial Learning
Tao Qi
Fangzhao Wu
Chuhan Wu
Lingjuan Lyu
Tongye Xu
Zhongliang Yang
Yongfeng Huang
Xing Xie
FedML
39
36
0
07 Jun 2022
A Vertical Federated Learning Method For Multi-Institutional Credit Scoring: MICS
Yusuf Efe
FedML
31
5
0
17 Nov 2021
DVFL: A Vertical Federated Learning Method for Dynamic Data
Yuzhi Liang
Yixiang Chen
FedML
31
1
0
05 Nov 2021
Secure Machine Learning over Relational Data
Qiyao Luo
Yilei Wang
Zhenghang Ren
K. Yi
Kai Chen
Xiao Wang
32
4
0
30 Sep 2021
Cross-Silo Federated Learning for Multi-Tier Networks with Vertical and Horizontal Data Partitioning
Anirban Das
Timothy Castiglia
Shiqiang Wang
S. Patterson
FedML
13
19
0
19 Aug 2021
Aegis: A Trusted, Automatic and Accurate Verification Framework for Vertical Federated Learning
Cengguang Zhang
Junxue Zhang
Di Chai
Kai Chen
FedML
17
5
0
16 Aug 2021
Vertical Federated Learning without Revealing Intersection Membership
Jiankai Sun
Xin Yang
Yuanshun Yao
Aonan Zhang
Weihao Gao
Junyuan Xie
Chong-Jun Wang
FedML
31
37
0
10 Jun 2021
A Fusion-Denoising Attack on InstaHide with Data Augmentation
Xinjian Luo
X. Xiao
Yuncheng Wu
Juncheng Liu
Beng Chin Ooi
FedML
PICV
52
7
0
17 May 2021
Privacy-Preserving Federated Learning on Partitioned Attributes
Shuang Zhang
Liyao Xiang
Xi Yu
Pengzhi Chu
Yingqi Chen
Chen Cen
L. Wang
FedML
22
2
0
29 Apr 2021
SoK: Privacy-Preserving Collaborative Tree-based Model Learning
Sylvain Chatel
Apostolos Pyrgelis
J. Troncoso-Pastoriza
Jean-Pierre Hubaux
17
14
0
16 Mar 2021
Federated Learning on Non-IID Data Silos: An Experimental Study
Yue Liu
Yiqun Diao
Quan Chen
Bingsheng He
FedML
OOD
101
955
0
03 Feb 2021
FederBoost: Private Federated Learning for GBDT
Zhihua Tian
Rui Zhang
Xiaoyang Hou
Jian-wei Liu
K. Ren
Jian Liu
Kui Ren
FedML
AI4CE
47
66
0
05 Nov 2020
Feature Inference Attack on Model Predictions in Vertical Federated Learning
Xinjian Luo
Yuncheng Wu
Xiaokui Xiao
Beng Chin Ooi
FedML
AAML
11
219
0
20 Oct 2020
Exploiting Defenses against GAN-Based Feature Inference Attacks in Federated Learning
Xinjian Luo
Xiangqi Zhu
FedML
73
25
0
27 Apr 2020
Analyzing Federated Learning through an Adversarial Lens
A. Bhagoji
Supriyo Chakraborty
Prateek Mittal
S. Calo
FedML
191
1,033
0
29 Nov 2018
1