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Vertical Federated Learning: Concepts, Advances and Challenges

Vertical Federated Learning: Concepts, Advances and Challenges

23 November 2022
Yang Liu
Yan Kang
Tianyuan Zou
Yanhong Pu
Yuanqin He
Xiaozhou Ye
Ye Ouyang
Yaqin Zhang
Qian Yang
    FedML
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Papers citing "Vertical Federated Learning: Concepts, Advances and Challenges"

23 / 73 papers shown
Title
Global Layers: Non-IID Tabular Federated Learning
Global Layers: Non-IID Tabular Federated Learning
Yazan Obeidi
FedML
36
0
0
29 May 2023
LESS-VFL: Communication-Efficient Feature Selection for Vertical
  Federated Learning
LESS-VFL: Communication-Efficient Feature Selection for Vertical Federated Learning
Timothy Castiglia
Yi Zhou
Shiqiang Wang
S. Kadhe
Nathalie Baracaldo
S. Patterson
FedML
79
16
0
03 May 2023
Optimizing Privacy, Utility and Efficiency in Constrained
  Multi-Objective Federated Learning
Optimizing Privacy, Utility and Efficiency in Constrained Multi-Objective Federated Learning
Yan Kang
Hanlin Gu
Xingxing Tang
Yuanqin He
Yuzhu Zhang
Jinnan He
Yuxing Han
Lixin Fan
Kai Chen
Qiang Yang
FedML
63
18
0
29 Apr 2023
Universal Adversarial Backdoor Attacks to Fool Vertical Federated
  Learning in Cloud-Edge Collaboration
Universal Adversarial Backdoor Attacks to Fool Vertical Federated Learning in Cloud-Edge Collaboration
Peng Chen
Xin Du
Zhihui Lu
Hongfeng Chai
FedML
AAML
31
10
0
22 Apr 2023
A Survey on Vertical Federated Learning: From a Layered Perspective
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
32
27
0
04 Apr 2023
Robust and IP-Protecting Vertical Federated Learning against Unexpected
  Quitting of Parties
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
11
6
0
28 Mar 2023
A Survey of Trustworthy Federated Learning with Perspectives on
  Security, Robustness, and Privacy
A Survey of Trustworthy Federated Learning with Perspectives on Security, Robustness, and Privacy
Yifei Zhang
Dun Zeng
Jinglong Luo
Zenglin Xu
Irwin King
FedML
81
47
0
21 Feb 2023
Vertical Federated Knowledge Transfer via Representation Distillation
  for Healthcare Collaboration Networks
Vertical Federated Knowledge Transfer via Representation Distillation for Healthcare Collaboration Networks
Chung-ju Huang
Leye Wang
Xiao Han
FedML
17
23
0
11 Feb 2023
FedPass: Privacy-Preserving Vertical Federated Deep Learning with
  Adaptive Obfuscation
FedPass: Privacy-Preserving Vertical Federated Deep Learning with Adaptive Obfuscation
Hanlin Gu
Jiahuan Luo
Yan Kang
Lixin Fan
Qiang Yang
FedML
34
13
0
30 Jan 2023
OpBoost: A Vertical Federated Tree Boosting Framework Based on
  Order-Preserving Desensitization
OpBoost: A Vertical Federated Tree Boosting Framework Based on Order-Preserving Desensitization
Xiaochen Li
Yuke Hu
Weiran Liu
Hanwen Feng
Li Peng
Yuan Hong
Kui Ren
Zhan Qin
FedML
121
26
0
04 Oct 2022
Vertical Semi-Federated Learning for Efficient Online Advertising
Vertical Semi-Federated Learning for Efficient Online Advertising
Wenjie Li
Qiaolin Xia
Hao Cheng
Kouying Xue
Shutao Xia
FedML
36
14
0
30 Sep 2022
Trading Off Privacy, Utility and Efficiency in Federated Learning
Trading Off Privacy, Utility and Efficiency in Federated Learning
Xiaojin Zhang
Yan Kang
Kai Chen
Lixin Fan
Qiang Yang
FedML
19
53
0
01 Sep 2022
A Hybrid Self-Supervised Learning Framework for Vertical Federated
  Learning
A Hybrid Self-Supervised Learning Framework for Vertical Federated Learning
Yuanqin He
Yan Kang
Xinyuan Zhao
Jiahuan Luo
Lixin Fan
Yuxing Han
Qiang Yang
FedML
24
23
0
18 Aug 2022
An Efficient and Robust System for Vertically Federated Random Forest
An Efficient and Robust System for Vertically Federated Random Forest
Houpu Yao
Jiazhou Wang
Peng Dai
Liefeng Bo
Yanqing Chen
FedML
74
12
0
26 Jan 2022
Graph-Fraudster: Adversarial Attacks on Graph Neural Network Based
  Vertical Federated Learning
Graph-Fraudster: Adversarial Attacks on Graph Neural Network Based Vertical Federated Learning
Jinyin Chen
Guohan Huang
Haibin Zheng
Shanqing Yu
Wenrong Jiang
Chen Cui
AAML
FedML
74
32
0
13 Oct 2021
AsySQN: Faster Vertical Federated Learning Algorithms with Better
  Computation Resource Utilization
AsySQN: Faster Vertical Federated Learning Algorithms with Better Computation Resource Utilization
Qingsong Zhang
Bin Gu
Cheng Deng
Songxiang Gu
Liefeng Bo
J. Pei
Heng-Chiao Huang
FedML
95
28
0
26 Sep 2021
Achieving Model Fairness in Vertical Federated Learning
Achieving Model Fairness in Vertical Federated Learning
Changxin Liu
Zhenan Fan
Zirui Zhou
Yang Shi
J. Pei
Lingyang Chu
Yong Zhang
FedML
58
12
0
17 Sep 2021
Towards Personalized Federated Learning
Towards Personalized Federated Learning
A. Tan
Han Yu
Li-zhen Cui
Qiang Yang
FedML
AI4CE
209
840
0
01 Mar 2021
Label Leakage and Protection in Two-party Split Learning
Label Leakage and Protection in Two-party Split Learning
Oscar Li
Jiankai Sun
Xin Yang
Weihao Gao
Hongyi Zhang
Junyuan Xie
Virginia Smith
Chong-Jun Wang
FedML
124
139
0
17 Feb 2021
Self-supervised Cross-silo Federated Neural Architecture Search
Self-supervised Cross-silo Federated Neural Architecture Search
Xinle Liang
Yang Liu
Jiahuan Luo
Yuanqin He
Tianjian Chen
Qiang Yang
FedML
98
18
0
28 Jan 2021
Federated Bandit: A Gossiping Approach
Federated Bandit: A Gossiping Approach
Zhaowei Zhu
Jingxuan Zhu
Ji Liu
Yang Liu
FedML
139
83
0
24 Oct 2020
FedCVT: Semi-supervised Vertical Federated Learning with Cross-view
  Training
FedCVT: Semi-supervised Vertical Federated Learning with Cross-view Training
Yan Kang
Yang Liu
Xinle Liang
FedML
66
50
0
25 Aug 2020
FedML: A Research Library and Benchmark for Federated Machine Learning
FedML: A Research Library and Benchmark for Federated Machine Learning
Chaoyang He
Songze Li
Jinhyun So
Xiao Zeng
Mi Zhang
...
Yang Liu
Ramesh Raskar
Qiang Yang
M. Annavaram
Salman Avestimehr
FedML
168
564
0
27 Jul 2020
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