Differentially Private Vertical Federated Clustering

2 August 2022

Papers citing "Differentially Private Vertical Federated Clustering"

9 / 9 papers shown

Title
PBM-VFL: Vertical Federated Learning with Feature and Sample Privacy Linh Tran Timothy Castiglia Stacy Patterson Ana Milanova FedML 45 0 0 23 Jan 2025
Just a Simple Transformation is Enough for Data Protection in Vertical Federated Learning Andrei Semenov Philip Zmushko Alexander Pichugin Aleksandr Beznosikov 88 0 0 16 Dec 2024
FastLloyd: Federated, Accurate, Secure, and Tunable $k$ -Means Clustering with Differential Privacy Abdulrahman Diaa Thomas Humphries Florian Kerschbaum FedML 30 0 0 03 May 2024
A Survey of Privacy Threats and Defense in Vertical Federated Learning: From Model Life Cycle Perspective Lei Yu Meng Han Yiming Li Changting Lin Yao Zhang ... Yan Liu Haiqin Weng Yuseok Jeon Ka-Ho Chow Stacy Patterson FedML 58 9 0 06 Feb 2024
Cross-silo Federated Learning with Record-level Personalized Differential Privacy Junxu Liu Jian Lou Li Xiong Jinfei Liu Xiaofeng Meng 31 5 0 29 Jan 2024
Private Learning with Public Features Walid Krichene Nicolas Mayoraz Steffen Rendle Shuang Song Abhradeep Thakurta Li Zhang 27 6 0 24 Oct 2023
Dynamically Weighted Federated k-Means Patrick Holzer Tania Jacob Shubham Kavane FedML 19 1 0 23 Oct 2023
A Survey for Federated Learning Evaluations: Goals and Measures Di Chai Leye Wang Liu Yang Junxue Zhang Kai Chen Qian Yang ELM FedML 17 21 0 23 Aug 2023
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 57 161 0 23 Nov 2022