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Robustness, Security, Privacy, and Linear Function Retrieval From Coded Servers for Users With Multiple-Cache Accessibility

delete2026-01-28
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PRE
AI
M
Mallikharjuna Chinnapadamala
B
B. Sundar Rajan
DOI:10.1109/JIOT.2026.3658576delete
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Abstract

Abstract

En 中文
The model considered in this work consists of $H$ servers where the file library is maximum distance separable (MDS) coded and stored. Each server is connected to $K$ users through a dedicated shared link, and each user has access to a unique set of $r$ out of $C$ caches. For every set of $r$ caches, there is a user. Each user aims to retrieve an arbitrary linear combination of files. All the users should be able to retrieve their demands using the signals from any $L$ out of $H$ servers. In addition, the following conditions must be satisfied: 1) content security from an eavesdropper and 2) demand privacy against noncolluding users and any colluding set of servers. We propose two schemes, one of which satisfies both the above conditions and the other satisfies only the security condition. Over a certain range in the low memory region, our schemes are within a constant multiplicative factor from the optimal. As special cases, our schemes recover some of the previous works in the literature. One of our schemes is extended to a more general setup where different users are connected to different numbers of caches, and multiple users are connected to the same subset of caches.
Keywords:
Coded caching
linear function retrieval (LFR)
multiaccess
privacy
robustness
security

Journal

IEEE Internet of Things Journal cover
IEEE Internet of Things Journal
IF:
8.9
Papers:
1.4W
Citations:
7.8W

Organization

I
Indian Institute of Science
Scholars:
1.7K
Papers: 697
Citations: 1.3W
Cited Papers

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