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GORAM: Graph-oriented ORAM for Efficient Ego-centric Queries on Federated Graphs

Summary: GORAM combines MPC with partitioned ORAM indexing to privately execute ego-centric queries over mutually distrustful, federated graph owners. It limits each query to one partition, achieving practical performance on billion-edge graphs—the first such MPC-scale demonstration. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
14173
Venue
VLDB
Year
2025
Pagerank
5.093636e-05
Overall Rank
10,936 | 24.97%
DOI
10.14778/3748191.3748218

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BibTeX Citation

@article{fan_vldb25,
        title = {{GORAM: Graph-oriented ORAM for Efficient Ego-centric Queries on Federated Graphs}},
        author = {Fan, Xiaoyu and Zhu, Xiaowei and Chen, Kun and Chen, Yunyi and Yu, Jiping and Zhang, Huanchen and Xu, Wei},
        journal = {PVLDB},
        series = {{VLDB} '25},
        volume = {18},
        number = {10},
        pages = {3601--3614},
        doi = {10.14778/3748191.3748218},
        url = {https://doi.org/10.14778/3748191.3748218},
        year = {2025}
}

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