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The Communication Complexity of Distributed Set-Joins with Applications to Matrix Multiplication

Summary: Characterizes randomized communication complexity of distributed set-joins (intersection, disjointness, equality, threshold), yielding quantitative separations and consequences for distributed natural joins and join-size estimation. Provides sparse-output algorithms via BMM that improve O~(k n) and give transitive closure in O~(k^{3/2}) (O~(n^{3/2}) if k=O(n)). (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
h740b2886a7f45445
Venue
PODS
Year
2015
Pagerank
5.8773159e-05
Overall Rank
6,122 | 58.86%
DOI
10.1145/2745754.2745779

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{gucht_pods15,
        address = {New York, NY, USA},
        series = {{PODS} '15},
        title = {{The Communication Complexity of Distributed Set-Joins with Applications to Matrix Multiplication}},
        url = {https://dl.acm.org/doi/10.1145/2745754.2745779},
        doi = {10.1145/2745754.2745779},
        booktitle = {Proceedings of the {ACM} {SIGMOD} Symposium on {Principles} of {Database} {Systems}},
        publisher = {Association for Computing Machinery},
        author = {Van Gucht, Dirk and Williams, Ryan and Woodruff, David P. and Zhang, Qin},
        year = {2015}
}

Incoming Citations (Sorted by Pagerank)

Showing 6 of 6 citing papers.

Rank Citing Paper Year Venue Pagerank
6,573 An Optimal Algorithm for l1-Heavy Hitters in Insertion Streams and Related Problems 2016 PODS 5.7431378e-05
8,101 Space Lower Bounds for Itemset Frequency Sketches 2016 PODS 5.3917406e-05
8,443 Efficient Matrix Sketching over Distributed Data 2017 PODS 5.3324907e-05
8,822 Bias-Aware Sketches 2017 VLDB 5.2692495e-05
9,420 Output-Sensitive Evaluation of Regular Path Queries 2025 PODS 5.1802184e-05
12,200 Distributed Statistical Estimation of Matrix Products with Applications 2018 PODS 4.9769913e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 12 of 12 cited papers.

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

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