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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
1664
Venue
PODS
Year
2015
Pagerank
5.2746158e-05
Overall Rank
5,905 | 58.97%
DOI
10.1145/2745754.2745779

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Incoming Citations (Sorted by Pagerank)

Showing 5 of 5 citing papers.

Rank Citing Paper Year Venue Pagerank
6,415 An Optimal Algorithm for l1-Heavy Hitters in Insertion Streams and Related Problems 2016 PODS 5.064828e-05
7,503 Space Lower Bounds for Itemset Frequency Sketches 2016 PODS 4.7135369e-05
7,952 Efficient Matrix Sketching over Distributed Data 2017 PODS 4.6089395e-05
8,586 Bias-Aware Sketches 2017 VLDB 4.4855966e-05
9,743 Output-Sensitive Evaluation of Regular Path Queries 2025 PODS 4.2856385e-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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