14 citations · 18 across the 2 of their papers we have counts for
2 papers
cs.CR2023★ 4 cited
Vertical Federated Graph Neural Network for Recommender System
Peihua Mai, Yan Pang
Conventional recommender systems are required to train the recommendation model using a centralized database. However, due to data privacy concerns, this is often impractical when…
cs.IR2022★ 14 cited
PrivMVMF: Privacy-Preserving Multi-View Matrix Factorization for Recommender Systems
Peihua Mai, Yan Pang
With an increasing focus on data privacy, there have been pilot studies on recommender systems in a federated learning (FL) framework, where multiple parties collaboratively train…