Search Results for author: Fangyuan Luo

Found 1 papers, 0 papers with code

LightFR: Lightweight Federated Recommendation with Privacy-preserving Matrix Factorization

no code implementations23 Jun 2022 Honglei Zhang, Fangyuan Luo, Jun Wu, Xiangnan He, Yidong Li

Federated recommender system (FRS), which enables many local devices to train a shared model jointly without transmitting local raw data, has become a prevalent recommendation paradigm with privacy-preserving advantages.

Privacy Preserving Recommendation Systems

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