Continuous Matrix Approximation on Distributed Data
Summary: Distributed streaming protocols continuously maintain a compact matrix B approximating A in every direction, with additive ε‖A‖F² error. A deterministic scheme achieves O((m/ε) log(βN)) communication, validated on large real datasets. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Mina Ghashami (University of Utah)
- 2. Jeff M. Phillips (University of Utah)
- 3. Feifei Li (University of Utah)
BibTeX Citation
@article{ghashami_vldb14,
title = {{Continuous Matrix Approximation on Distributed Data}},
author = {Ghashami, Mina and Phillips, Jeff M. and Li, Feifei},
journal = {PVLDB},
series = {{VLDB} '14},
volume = {7},
number = {10},
pages = {809--820},
doi = {10.14778/2732951.2732954},
url = {https://doi.org/10.14778/2732951.2732954},
year = {2014}
}
Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 6,696 | Matrix Sketching Over Sliding Windows | 2016 | SIGMOD | 5.7985588e-05 |
| 8,268 | Efficient Matrix Sketching over Distributed Data | 2017 | PODS | 5.4574671e-05 |
| 10,427 | AeroSketch: Near-Optimal Time Matrix Sketch Framework for Persistent, Sliding Window, and Distributed Streams | 2026 | SIGMOD | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 9 of 9 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 26 | Models and Issues in Data Stream Systems | 2002 | PODS | 0.00052982574 |
| 451 | Mergeable Summaries | 2012 | PODS | 0.00018151445 |
| 550 | Distributed Top-K Monitoring | 2003 | SIGMOD | 0.0001663758 |
| 1,045 | Sketching Streams Through the Net: Distributed Approximate Query Tracking | 2005 | VLDB | 0.00012440928 |
| 1,252 | Streaming Pattern Discovery in Multiple Time-Series | 2005 | VLDB | 0.00011483752 |
| 1,433 | Communication-Efficient Distributed Monitoring of Thresholded Counts | 2006 | SIGMOD | 0.0001080304 |
| 1,600 | Space-optimal Heavy Hitters with Strong Error Bounds | 2009 | PODS | 0.00010240222 |
| 2,406 | Holistic Aggregates in a Networked World: Distributed Tracking of Approximate Quantiles | 2005 | SIGMOD | 8.6187297e-05 |
| 3,856 | Randomized Algorithms for Tracking Distributed Count, Frequencies, and Ranks | 2012 | PODS | 7.0690791e-05 |
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| 2 | 11,894 | Distributed Statistical Estimation of Matrix Products with Applications | 2018 | PODS |
| 3 | 6,871 | Continuous Distributed Counting for Non-monotonic Streams | 2012 | PODS |
| 4 | 722 | Adaptive Filters for Continuous Queries over Distributed Data Streams | 2003 | SIGMOD |
| 5 | 12,054 | Scalable Approximate Query Tracking over Highly Distributed Data Streams | 2016 | SIGMOD |
| 6 | 3,832 | Optimal Tracking of Distributed Heavy Hitters and Quantiles | 2009 | PODS |
| 7 | 8,247 | Optimal Approximate Matrix Multiplication over Sliding Windows | 2026 | VLDB |
| 8 | 1,045 | Sketching Streams Through the Net: Distributed Approximate Query Tracking | 2005 | VLDB |
| 9 | 8,268 | Efficient Matrix Sketching over Distributed Data | 2017 | PODS |
| 10 | 6,696 | Matrix Sketching Over Sliding Windows | 2016 | SIGMOD |