Benjamin Livshits

Stronger Privacy for Federated Collaborative Filtering with Implicit\n Feedback

2021 · arXiv (Cornell University)

Recommender systems are commonly trained on centrally collected user\ninteraction data like views or clicks. This practice however raises serious\nprivacy concerns regarding the recommender's collection and handling of\npotentially sensitive data. Several privacy-aware recommender systems have been\nproposed …