… a system that performs matrix factorization, a popular method … recommendation systems,
through a cryptographic technique … our privacy-preserving implementation can factorize a matrix …

… Motivated by FL, this paper proposes a privacy-preserving federated matrix factorization
framework based on randomized response. The overview of our method is shown in Fig. 1. …

… , we design a distributed matrix factorization recommendation system model, and introduce
… solve the privacy protection problem. We name this model as shared matrix factorization and …

… system may cause serious privacy issues. In this article, we propose the first privacypreserving
matrix factorization … Our protocol performs matrix factorization over encrypted users’ rating …

… privacy-preserving of RSs. Aiming to solve the above problem, this article proposes a novel
matrix factorization (… for privacy protection based on differential-privacy preserving and time …

… matrix factorization-based recommendation systems, we propose the first privacy-preserving
matrix factorization … , our protocol performs matrix factorization over the encrypted data and …

… a privacy-preserving cross-domain recommender system based on matrix factorization. …
While the protocol in both studies is for a single domain recommender system, we compare …

… process of MF, the nonnegativity constraint of the learned model is critical. Nonnegative matrix
factorization (NMF)-based methods have … filtering (CF) methods in RS for extracting latent …

… We firstly introduce matrix factorization in a federated learning setting. Then we describe …
presents the first design for verifiable and privacy-preserving federated matrix factorization. …

… framework with privacy-preserving matrix factorization, LightFR, that is able to generate
high-quality binary codes by exploiting learning to hash technique under federated settings, and …