97 citations · 501 across the 35 of their papers we have counts for
Showing cs.LGShow all
2 papers · 1 filter
cs.LG2021
Stronger Privacy for Federated Collaborative Filtering with Implicit Feedback
Lorenzo Minto, Moritz Haller, Hamed Haddadi +1
Recommender systems are commonly trained on centrally collected user interaction data like views or clicks. This practice however raises serious privacy concerns regarding the reco…
cs.LG2019
Privacy-Preserving Bandits
Mohammad Malekzadeh, Dimitrios Athanasakis, Hamed Haddadi +1
Contextual bandit algorithms~(CBAs) often rely on personal data to provide recommendations. Centralized CBA agents utilize potentially sensitive data from recent interactions to pr…