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)
Incoming Non-self Citations Over Time
Authors
- 1. Dirk Van Gucht
- 2. Ryan Williams
- 3. David P. Woodruff
- 4. Qin Zhang
Incoming Citations (Sorted by Pagerank)
Showing 5 of 5 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 6,418 | An Optimal Algorithm for l1-Heavy Hitters in Insertion Streams and Related Problems | 2016 | PODS | 5.0696932e-05 |
| 7,504 | Space Lower Bounds for Itemset Frequency Sketches | 2016 | PODS | 4.7180617e-05 |
| 7,949 | Efficient Matrix Sketching over Distributed Data | 2017 | PODS | 4.613363e-05 |
| 8,599 | Bias-Aware Sketches | 2017 | VLDB | 4.4879268e-05 |
| 9,744 | Output-Sensitive Evaluation of Regular Path Queries | 2025 | PODS | 4.2897489e-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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