FedV: Privacy-Preserving Federated Learning over Vertically Partitioned
Data

FedV: Privacy-Preserving Federated Learning over Vertically Partitioned Data

5 March 2021

Nathalie Baracaldo

Ali Anwar

Papers citing "FedV: Privacy-Preserving Federated Learning over Vertically Partitioned Data"

8 / 8 papers shown

Title
PBM-VFL: Vertical Federated Learning with Feature and Sample Privacy Linh Tran Timothy Castiglia Stacy Patterson Ana Milanova FedML 40 0 0 23 Jan 2025
TAPFed: Threshold Secure Aggregation for Privacy-Preserving Federated Learning Runhua Xu Bo Li Chao Li J. Joshi Shuai Ma Jianxin Li FedML 33 10 0 10 Jan 2025
Privacy-Preserving Traceable Functional Encryption for Inner Product Muyao Qiu Jinguang Han 16 0 0 07 Apr 2024
Federated Learning over Harmonized Data Silos Dimitris Stripelis J. Ambite FedML 15 2 0 15 May 2023
Vertical Federated Learning: A Structured Literature Review Afsana Khan M. T. Thij A. Wilbik FedML 50 10 0 01 Dec 2022
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
Federated Learning for Healthcare Domain - Pipeline, Applications and Challenges Madhura Joshi Ankit Pal Malaikannan Sankarasubbu OOD AI4CE FedML 25 93 0 15 Nov 2022
IBM Federated Learning: an Enterprise Framework White Paper V0.1 Heiko Ludwig Nathalie Baracaldo Gegi Thomas Yi Zhou Ali Anwar ... Sean Laguna Mikhail Yurochkin Mayank Agarwal Ebube Chuba Annie Abay FedML 131 157 0 22 Jul 2020