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"SecGCM: Secure Group Centrality Maximization on Graphs with Secure Multi-party Computation"

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DataCite Commons2026-01-13 更新2026-05-03 收录
下载链接:
https://ieee-dataport.org/documents/secgcm-secure-group-centrality-maximization-graphs-secure-multi-party-computation-0
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资源简介:
"We provide the preprocessed graph datasets used in SecGCM experiments, containing graphs with 34, 217, 332, 379, 516, and 1174 nodes respectively. These synthetic or extracted networks simulate distributed multi-party scenarios for evaluating privacy-preserving group closeness centrality maximization via secure multi-party computation."
提供机构:
IEEE DataPort
创建时间:
2026-01-13
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