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Co-clustering for federated recommender system
As data privacy and security attract increasing attention, Federated Recommender System
(FRS) offers a solution that strikes a balance between providing high-quality …
(FRS) offers a solution that strikes a balance between providing high-quality …
Federated heterogeneous graph neural network for privacy-preserving recommendation
The heterogeneous information network (HIN), which contains rich semantics depicted by
meta-paths, has emerged as a potent tool for mitigating data sparsity in recommender …
meta-paths, has emerged as a potent tool for mitigating data sparsity in recommender …
FedRL: a reinforcement learning federated recommender system for efficient communication using reinforcement selector and hypernet generator
The field of recommender systems aims to predict users' latent interests by analyzing their
preferences and behaviors. However, privacy concerns about user data collection lead to …
preferences and behaviors. However, privacy concerns about user data collection lead to …
Poisoning decentralized collaborative recommender system and its countermeasures
To make room for privacy and efficiency, the deployment of many recommender systems is
experiencing a shift from central servers to personal devices, where the federated …
experiencing a shift from central servers to personal devices, where the federated …