… for our privacy-preserving location-aware recommender system as … art privacypreserving
recommendation systems. The first is a privacy-preserving personalized tweet recommendation …

… centralized recommendation methods infeasible. This study focuses on privacy-preserving …
training in a decentralized manner for personalized recommender systems. To fully utilize the …

… Abstract: This paper makes a comprehensive survey of the recommender system research
… Privacy-Preserving collaborative filtering using randomized perturbation techniques. In: Proc…

… This paper firstly summarizes the privacypreserving … and recommendation accuracy, the
privacy-preserving technologies … results of privacy-preserving in recommendation systems at …

… , but also the users' identities, interests, social habits, behavior patterns and privacy hidden
in these data. A review of privacy preserving for location-based services (LBS) is provided. …

… Seeking privacy-preserving analysis for CPS big data, we design a new mechanism of
federated data representation that supports visual analysis. Specifically, in this new mechanism dif…

… recommendation systems are also utilized to suggest relevant datasets based on user
behavior and preferences, improving the efficiency and effectiveness of data … ): Privacy-preserving …

… privacy preserving in recommender systems[J]. Journal of Computer Research and
Development, 2019, 56(10): 2033-2048. [53] KIM S, KIM J, KOO D, et al. Efficient privacy-preserving …

… This section explores privacy-preserving techniques for mobile malware analysis, such as
data anonymization, differential privacy, and secure multi-party computation. It emphasizes …

… 116|| 2019 The authors proposed a blockchain-based privacy-preserving software update
protocol to perform secure and reliable updates with an incentive mechanism without …