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Found 2 papers, 1 papers with code
LTC-SUM: Lightweight Client-driven Personalized Video Summarization Framework Using 2D CNN
This framework generates a personalized keyshot summary for concurrent users by using the computational resource of the end-user device.
A Personalized Preference Learning Framework for Caching in Mobile Networks
Under our model, we consider a single-hop-based device-to-device (D2D) content delivery protocol and characterize the average hit ratio for the following two file preference cases: the personalized file preferences and the common file preferences.
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