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

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

22 April 2025

Sindhuja Madabushi

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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 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 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 Songze Li Duanyi Yao Jin Liu FedML 98 30 0 26 Apr 2023
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 Hangyu Zhu Rui Wang Yaochu Jin K. Liang FedML 107 30 0 25 Aug 2021
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 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 Praneeth Vepakomma O. Gupta Tristan Swedish Ramesh Raskar FedML 121 710 0 03 Dec 2018
Deep Learning with Differential Privacy Martín Abadi Andy Chu Ian Goodfellow H. B. McMahan Ilya Mironov Kunal Talwar Li Zhang FedML SyDa 220 6,172 0 01 Jul 2016