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Improving Privacy-Preserving Vertical Federated Learning by Efficient
  Communication with ADMM

Improving Privacy-Preserving Vertical Federated Learning by Efficient Communication with ADMM

20 July 2022
Chulin Xie
Pin-Yu Chen
Qinbin Li
Arash Nourian
Ce Zhang
Bo Li
    FedML
ArXivPDFHTML

Papers citing "Improving Privacy-Preserving Vertical Federated Learning by Efficient Communication with ADMM"

11 / 11 papers shown
Title
OPUS-VFL: Incentivizing Optimal Privacy-Utility Tradeoffs in Vertical Federated Learning
OPUS-VFL: Incentivizing Optimal Privacy-Utility Tradeoffs in Vertical Federated Learning
Sindhuja Madabushi
A. Khan
Haider Ali
Jin-Hee Cho
FedML
VLM
29
0
0
22 Apr 2025
Privacy Amplification by Iteration for ADMM with (Strongly) Convex
  Objective Functions
Privacy Amplification by Iteration for ADMM with (Strongly) Convex Objective Functions
T.-H. Hubert Chan
Hao Xie
Mengshi Zhao
14
1
0
14 Dec 2023
2SFGL: A Simple And Robust Protocol For Graph-Based Fraud Detection
2SFGL: A Simple And Robust Protocol For Graph-Based Fraud Detection
Zhirui Pan
Guangzhong Wang
Zhaoning Li
Lifeng Chen
Yang Bian
Zhongyuan Lai
FedML
16
2
0
12 Oct 2023
Flexible Differentially Private Vertical Federated Learning with
  Adaptive Feature Embeddings
Flexible Differentially Private Vertical Federated Learning with Adaptive Feature Embeddings
Yuxi Mi
Hongquan Liu
Yewei Xia
Yiheng Sun
Jihong Guan
Shuigeng Zhou
FedML
13
1
0
26 Jul 2023
How to DP-fy ML: A Practical Guide to Machine Learning with Differential
  Privacy
How to DP-fy ML: A Practical Guide to Machine Learning with Differential Privacy
Natalia Ponomareva
Hussein Hazimeh
Alexey Kurakin
Zheng Xu
Carson E. Denison
H. B. McMahan
Sergei Vassilvitskii
Steve Chien
Abhradeep Thakurta
94
165
0
01 Mar 2023
Vertical Federated Learning: A Structured Literature Review
Vertical Federated Learning: A Structured Literature Review
Afsana Khan
M. T. Thij
A. Wilbik
FedML
22
8
0
01 Dec 2022
Vertical Federated Learning: Concepts, Advances and Challenges
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
22
158
0
23 Nov 2022
Unraveling the Connections between Privacy and Certified Robustness in
  Federated Learning Against Poisoning Attacks
Unraveling the Connections between Privacy and Certified Robustness in Federated Learning Against Poisoning Attacks
Chulin Xie
Yunhui Long
Pin-Yu Chen
Qinbin Li
Arash Nourian
Sanmi Koyejo
Bo Li
FedML
21
13
0
08 Sep 2022
Flexible Vertical Federated Learning with Heterogeneous Parties
Flexible Vertical Federated Learning with Heterogeneous Parties
Timothy Castiglia
Shiqiang Wang
S. Patterson
FedML
22
33
0
26 Aug 2022
Differentially Private Vertical Federated Clustering
Differentially Private Vertical Federated Clustering
Zitao Li
Tianhao Wang
Ninghui Li
FedML
16
18
0
02 Aug 2022
Explainable AI: current status and future directions
Explainable AI: current status and future directions
Prashant Gohel
Priyanka Singh
M. Mohanty
XAI
79
86
0
12 Jul 2021
1