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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
ArXiv (abs)PDFHTML

Papers citing "OPUS-VFL: Incentivizing Optimal Privacy-Utility Tradeoffs in Vertical Federated Learning"

9 / 9 papers shown
Title
Incentive Allocation in Vertical Federated Learning Based on Bankruptcy Problem
Incentive Allocation in Vertical Federated Learning Based on Bankruptcy Problem
Afsana Khan
M. T. Thij
F. Thuijsman
A. Wilbik
FedML
90
2
0
07 Jul 2023
Privet: A Privacy-Preserving Vertical Federated Learning Service for Gradient Boosted Decision Tables
Privet: A Privacy-Preserving Vertical Federated Learning Service for Gradient Boosted Decision Tables
Yifeng Zheng
Shuangqing Xu
Songlei Wang
Yan Gao
Zhongyun Hua
FedML
76
10
0
22 May 2023
FedVS: Straggler-Resilient and Privacy-Preserving Vertical Federated Learning for Split Models
FedVS: Straggler-Resilient and Privacy-Preserving Vertical Federated Learning for Split Models
Songze Li
Duanyi Yao
Jin Liu
FedML
98
30
0
26 Apr 2023
Improving Privacy-Preserving Vertical Federated Learning by Efficient Communication with ADMM
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
67
16
0
20 Jul 2022
PIVODL: Privacy-preserving vertical federated learning over distributed labels
PIVODL: Privacy-preserving vertical federated learning over distributed labels
Hangyu Zhu
Rui Wang
Yaochu Jin
K. Liang
FedML
107
30
0
25 Aug 2021
FedV: Privacy-Preserving Federated Learning over Vertically Partitioned Data
FedV: Privacy-Preserving Federated Learning over Vertically Partitioned Data
Runhua Xu
Nathalie Baracaldo
Yi Zhou
Ali Anwar
J. Joshi
Heiko Ludwig
FedML
60
78
0
05 Mar 2021
An Incentive Mechanism for Federated Learning in Wireless Cellular network: An Auction Approach
An Incentive Mechanism for Federated Learning in Wireless Cellular network: An Auction Approach
T. Le
N. H. Tran
Y. Tun
Minh N. H. Nguyen
Shashi Raj Pandey
Zhu Han
Choong Seon Hong
FedML
63
156
0
22 Sep 2020
Split learning for health: Distributed deep learning without sharing raw patient data
Split learning for health: Distributed deep learning without sharing raw patient data
Praneeth Vepakomma
O. Gupta
Tristan Swedish
Ramesh Raskar
FedML
121
710
0
03 Dec 2018
Deep Learning with Differential Privacy
Deep Learning with Differential Privacy
Martín Abadi
Andy Chu
Ian Goodfellow
H. B. McMahan
Ilya Mironov
Kunal Talwar
Li Zhang
FedMLSyDa
220
6,172
0
01 Jul 2016

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