ResearchTrend.AI
FedDMF: Privacy-Preserving User Attribute Prediction using Deep Matrix Factorization

FedDMF: Privacy-Preserving User Attribute Prediction using Deep Matrix Factorization

Ming Cheung
ArXiv (abs)PDFHTML

Papers citing "FedDMF: Privacy-Preserving User Attribute Prediction using Deep Matrix Factorization"

4 / 4 papers shown
Title
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
Rethinking Privacy Preserving Deep Learning: How to Evaluate and Thwart Privacy Attacks
Rethinking Privacy Preserving Deep Learning: How to Evaluate and Thwart Privacy Attacks
Lixin Fan
Kam Woh Ng
Ce Ju
Tianyu Zhang
Chang Liu
Chee Seng Chan
Qiang Yang
MIACV
35
64
0
20 Jun 2020
iDLG: Improved Deep Leakage from Gradients
iDLG: Improved Deep Leakage from Gradients
Bo Zhao
Konda Reddy Mopuri
Hakan Bilen
FedML
81
643
0
08 Jan 2020
Federated Collaborative Filtering for Privacy-Preserving Personalized Recommendation System
Federated Collaborative Filtering for Privacy-Preserving Personalized Recommendation System
Muhammad Ammad-ud-din
E. Ivannikova
Suleiman A. Khan
Were Oyomno
Qiang Fu
K. E. Tan
Adrian Flanagan
FedML
93
274
0
29 Jan 2019

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