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PrivMVMF: Privacy-Preserving Multi-View Matrix Factorization for
  Recommender Systems

PrivMVMF: Privacy-Preserving Multi-View Matrix Factorization for Recommender Systems

29 September 2022
Peihua Mai
Yan Pang
ArXiv (abs)PDFHTML

Papers citing "PrivMVMF: Privacy-Preserving Multi-View Matrix Factorization for Recommender Systems"

2 / 2 papers shown
Title
SecEmb: Sparsity-Aware Secure Federated Learning of On-Device Recommender System with Large Embedding
SecEmb: Sparsity-Aware Secure Federated Learning of On-Device Recommender System with Large Embedding
Peihua Mai
Youlong Ding
Ziyan Lyu
Minxin Du
Yan Pang
FedML
73
0
0
18 May 2025
Privacy-Preserving Distributed Nonnegative Matrix Factorization
Privacy-Preserving Distributed Nonnegative Matrix Factorization
Ehsan Lari
Reza Arablouei
Stefan Werner
PICV
38
1
0
27 Mar 2024
1