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Flare: A Fast, Secure, and Memory-Efficient Distributed Analytics Framework

Summary: Flare: SGX-based analytics engine with shadow operators/tasks to shrink TCB and domain-switch overheads and optional oblivious processing for access-pattern privacy. Memory-efficient operator granularities and adaptive parallelization yield 3–176× speedups vs prior secure frameworks and 2.8–28.3× vs libOS integration. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
13195
Venue
VLDB
Year
2023
Pagerank
5.6847858e-05
Overall Rank
7,165 | 50.85%
DOI
10.14778/3583140.3583158

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{li_vldb23,
        title = {{Flare: A Fast, Secure, and Memory-Efficient Distributed Analytics Framework}},
        author = {Li, Xiang and Li, Fabing and Gao, Mingyu},
        journal = {PVLDB},
        series = {{VLDB} '23},
        volume = {16},
        number = {6},
        pages = {1439--1452},
        doi = {10.14778/3583140.3583158},
        url = {https://doi.org/10.14778/3583140.3583158},
        year = {2023}
}

Incoming Citations (Sorted by Pagerank)

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Outgoing Citations (Sorted by Pagerank)

Showing 2 of 2 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
526 TrustedDB: A Trusted Hardware based Database with Privacy and Data Confidentiality 2011 SIGMOD 0.00017112934
6,306 SEMROD: Secure and Efficient MapReduce Over Hybrid Clouds 2015 SIGMOD 5.9199986e-05
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