We formulate a data-driven caching revenue optimization, provide feasible solutions, and conduct simulations to show the effectiveness of the proposed scheme.
Data-Driven Caching with Users' Local Differential. Privacy in Information-Centric Networks. Xinyue Zhang∗, Jingyi Wang∗, Hongning Li†, Yuanxiong Guo ...
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What is the difference between data centric and data-driven?
What is local caching?
For caching problem in IoT, Zhang et al. proposed a data-driven caching method for information-centric networks based on local differential privacy in [57] . In ...
Dec 9, 2018 · Index terms have been assigned to the content through auto-classification. Recommendations. Persistent caching in information-centric networks.
This work employs dBitFlip, a local differential privacy (LDP) mechanism, to locally add differential private noise to the users' preference content ...
Therefore, in this work, we propose a data-driven caching revenue maximization problem with the considerations of users' local differential privacy.
Bibliographic details on Data-Driven Caching with Users' Local Differential Privacy in Information-Centric Networks.
Key takeaway: 'Data-driven caching with users' local differential privacy can effectively maximize revenue in information-centric networks by predicting ...
6 Caching with Users' Local Differential Privacy in Information-Centric ... locally differentially private content preference data in information-centric networks.
Information-centric networking (ICN) as an emerging networking paradigm has recently gained significant attention, due to the improvement of content ...