The increasing data privacy concerns in recommendation systems have made federated
recommendations attract more and more attention. Existing federated recommendation …

The marriage of federated learning and recommender system (FedRec) has been widely
used to address the growing data privacy concerns in personalized recommendation …

Recommender Systems (RS) play an integral role in enhancing user experiences by
providing personalized item suggestions. This survey reviews the progress in RS inclusively …

Recommendation systems play a crucial role in providing web-based suggestion utilities by
leveraging user behavior, preferences, and interests. In the context of privacy concerns and …

Federated Recommendation (FR) has received con-siderable popularity and attention in the
past few years. In FR, for each user, its feature vector and interaction data are kept locally on …

Because of the large number of online games available nowadays, online game
recommender systems are necessary for users and online game platforms. The former can …

In recent years, there has been growing interest in recommendation systems, which is
matched by their widespread adoption across various sectors. This can be attributed to their …

With the proliferation of short video applications, the significance of short video
recommendations has vastly increased. Unlike other recommendation scenarios, short …

Federated recommendation is a prominent use case within federated learning, yet it remains
susceptible to various attacks, from user to server-side vulnerabilities. Poisoning attacks are …

With the growing concerns regarding user data privacy, Federated Recommender System
(FedRec) has garnered significant attention recently due to its privacy-preserving …