Federated k-Core Decomposition: A Secure Distributed Approach

Bin Guo; Emil Sekerinski; Lingyang Chu

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arXiv · 2410.02544

Federated k-Core Decomposition: A Secure Distributed Approach

Bin Guo·Emil Sekerinski·Lingyang Chu

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Abstract

As one of the most well-studied cohesive subgraph models, the $k$-core is widely used to find graph nodes that are ``central'' or ``important'' in many applications, such as biological networks, social networks, ecological networks, and financial networks. For Decentralized Online Social Networks (DOSNs), where each vertex is a client as a single computing unit, distributed k-core decomposition algorithms have already been proposed. However, current distributed approaches fail to adequately protect privacy and security. In today's data-driven world, data privacy and security have attracted more and more attention, e.g., DOSNs are proposed to protect privacy by storing user information locally without using a single centralized server. In this work, we are the first to propose the secure version of the distributed $k$-core decomposition.

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BibTeX RIS

Bin Guo, Emil Sekerinski, Lingyang Chu. 2024-10-03. Federated k-Core Decomposition: A Secure Distributed Approach. https://arxiv.org/abs/2410.02544

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