16 天前 - … diffusion models to capture the intricate patterns of real-world datasets for training
accurate, fair, and privacy-preserving recommender systems: the Score-based Diffusion …

49 天前 - … Cross-domain recommender systems, which serve as a panacea to data sparsity
and cold-start problems, are increasingly vital for providing personalized content across …

54 天前 - … , (2) employing eXplainable Artificial Intelligence (XAI) methods and semantic …
recommender systems, and (3) designing a privacy-preserving data platform that facilitates data …

95 天前 - … , aims to mitigate these privacy issues while also data heterogeneity and data
scarcity problems. This study proposes a privacy-preserving model that combine LSTM with …

96 天前 - … on privacy-preserving FL in recommender systems. A privacy-preserving
framework is … In addition, a novel privacy-preserving information fusion among users, post-training …

102 天前 - … problem is to create a synthetic data generation framework [44], [45], [49]. … with
the privacy-preserving aspect of model development by focusing on deriving insights from data …

107 天前 - This volume includes 18 full papers and 39 short papers, totaling 57 proceedings
papers presented at the 28th International Conference on Research in Computational …

111 天前 - … strategy, rooted in recommendation systems, utilizes learned … , facilitating the
generation of synthetic data from original … innovative approach to privacy-preserving user …

125 天前 - … the establishment of privacypreserving data sharing in various … review (SLR).
By presenting the research space regarding generative AI in privacypreserving synthetic data …

133 天前 - … the establishment of privacypreserving data sharing in various … review (SLR).
By presenting the research space regarding generative AI in privacypreserving synthetic data …