research-article

Technical Perspective: A Framework for Adversarially Robust Streaming Algorithms

Author:

Graham CormodeAuthors Info & Claims

ACM SIGMOD Record, Volume 50, Issue 1

Page 5

https://doi.org/10.1145/3471485.3471487

Published: 17 June 2021 Publication History

Get Access

Abstract

Over the past two decades the data management community has devoted particular attention to handling data that arrives as a stream of updates. This captures a number of "big data" scenarios, ranging from monitoring networks to processing high volumes of transactions in commerce and finance. This has led to data streams becoming a mainstream data management topic, with many systems offering explicit support for handling such inputs. Within these systems, streaming algorithms are used to approximate various statistical and modeling queries, which would traditionally require random access to the full data to compute exactly.

References

[1]

N. Alon, O. Ben-Eliezer, Y. Dagan, S. Moran, M. Naor, and E. Yogev. Adversarial laws of large numbers and optimal regret in online classification. CoRR, abs/2101.09054, 2021. To appear in STOC 2021.

Digital Library

Google Scholar

[2]

O. Ben-Eliezer and E. Yogev. The adversarial robustness of sampling. In ACM PODS, 2020.

Digital Library

Google Scholar

[3]

A. Hassidim, H. Kaplan, Y. Mansour, Y. Matias, and U. Stemmer. Adversarially robust streaming algorithms via differential privacy. In NeurIPS, 2020.

Google Scholar

[4]

H. Kaplan, Y. Mansour, K. Nissim, and U. Stemmer. Separating adaptive streaming from oblivious streaming. CoRR, abs/2101.10836, 2021.

Google Scholar

[5]

D. P. Woodruff and S. Zhou. Tight bounds for adversarially robust streams and sliding windows via difference estimators. CoRR, abs/2011.07471, 2020.

Google Scholar

Recommendations

Technical Perspective: Relative Error Streaming Quantiles

The paper Relative Error Streaming Quantiles, by Graham Cormode, Zohar Karnin, Edo Liberty, Justin Thaler and Pavel Vesel´y studies a fundamental question in data stream processing, namely how to maintain information about the distribution of data in ...
Technical Perspective: Online Model Management via Temporally Biased Sampling

Randoms sampling from data streams is a problem with a long history of studies, starting from the famous reservoir sampling algorithm that is at least 50 years old [2]. The reservoir sampling algorithm maintains a random sample over all data items that ...
Unfolding the Practices of Live Streaming: A Dramaturgical Theory Perspective
HCI in Business, Government and Organizations
Abstract
Live steaming become an emerging significant phenomenon for creating huge market value in business. When it is reposed successful stories about the live streaming economy, researchers are interested in how a live streaming can be successful. ...

Comments

Information & Contributors

Information

Published In

ACM SIGMOD Record Volume 50, Issue 1

March 2021

90 pages

ISSN:0163-5808

DOI:10.1145/3471485

Editors:
Rada Chirkova
North Carolina State University
,
Vanessa Braganholo
Universidade Federal Fluminense
,
Wim Martens
University of Bayreuth
,
Divesh Srivastava
ATT research
,
Marcelo Arenas
Research Highlights
,
Marianne Winslett
University of Illinois
,
Jun Yang
Duke University
,
Azza Abouzied
NYU
,
Lyublena Antova
Datometry
,
Aaron J. Elmore
University of Chicago
,
Kyriakos Mouratidis
Singapore Management University
,
Dan Olteanu
University of Oxford
,
Immanuel Trummer
Cornell University
,
Yannis Velegrakis
Utrecht University
,
Renata Borovica-Gajic
Surveys

Issue’s Table of Contents

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 17 June 2021

Published in SIGMOD Volume 50, Issue 1

Check for updates

Qualifiers

Research-article

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

0
Total Citations
73
Total Downloads

Downloads (Last 12 months)2
Downloads (Last 6 weeks)0

Reflects downloads up to 07 Mar 2025

Other Metrics

View Author Metrics

Citations

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Abstract

References

Recommendations

Technical Perspective: Relative Error Streaming Quantiles

Technical Perspective: Online Model Management via Temporally Biased Sampling

Unfolding the Practices of Live Streaming: A Dramaturgical Theory Perspective

Comments

Information

Published In

Publisher

Publication History

Check for updates

Qualifiers

Contributors

Other Metrics

Bibliometrics

Article Metrics

Other Metrics

Citations

Login options

Full Access

View options

PDF

eReader

Share

Share this Publication link

Share on social media

Affiliations