Preventing the Popular Item Embedding Based Attack in Federated Recommendations

Jun Zhang, Huan Li, Dazhong Rong +3

Privacy concerns have led to the rise of federated recommender systems (FRS), which can create personalized models across distributed clients. However, FRS is vulnerable to poisoni…