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SODA: A Set of Fast Oblivious Algorithms in Distributed Secure Data Analytics

Summary: SODA introduces distributed oblivious algorithms for filter, aggregate, and equi-join that avoid costly global oblivious sort and minimize data padding. It uses low-cost pseudo-rand communication and a two-level bin-packing join to reduce redistribution and skew, yielding 1.1–14.6× speedups over prior work. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
13027
Venue
VLDB
Year
2023
Pagerank
4.3556432e-05
Overall Rank
9,327 | 35.12%
DOI
10.14778/3587136.3587142

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Rank Citing Paper Year Venue Pagerank
10,544 Jodes: Efficient Oblivious Join in the Distributed Setting 2025 VLDB 4.1945683e-05
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