Frank McSherry

Affiliations:
  • Materialize Inc., USA
  • Microsoft Research, Silicon Valley Lab


According to our database1, Frank McSherry authored at least 55 papers between 2001 and 2024.

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Bibliography

2024
DBSP: Incremental Computation on Streams and Its Applications to Databases.
SIGMOD Rec., March, 2024

2023
DBSP: Automatic Incremental View Maintenance for Rich Query Languages.
Proc. VLDB Endow., 2023

2022
Timestamp tokens: a better coordination primitive for data-processing systems.
CoRR, 2022

DBSP: Automatic Incremental View Maintenance for Rich Query Languages.
CoRR, 2022

Materialize: a platform for building scalable event based systems.
Proceedings of the 16th ACM International Conference on Distributed and Event-based Systems, 2022

2020
Shared Arrangements: practical inter-query sharing for streaming dataflows.
Proc. VLDB Endow., 2020

2019
Megaphone: Latency-conscious state migration for distributed streaming dataflows.
Proc. VLDB Endow., 2019

2018
Distributed Evaluation of Subgraph Queries Using Worst-case Optimal and Low-Memory Dataflows.
Proc. VLDB Endow., 2018

K-Pg: Shared State in Differential Dataflows.
CoRR, 2018

Megaphone: Live state migration for distributed streaming dataflows.
CoRR, 2018

Distributed Evaluation of Subgraph Queries Using Worstcase Optimal LowMemory Dataflows.
CoRR, 2018

Latency-conscious dataflow reconfiguration.
Proceedings of the 5th ACM SIGMOD Workshop on Algorithms and Systems for MapReduce and Beyond, 2018

2016
Explaining Outputs in Modern Data Analytics.
Proc. VLDB Endow., 2016

Calibrating Noise to Sensitivity in Private Data Analysis.
J. Priv. Confidentiality, 2016

Incremental, iterative data processing with timely dataflow.
Commun. ACM, 2016

Faucet: a user-level, modular technique for flow control in dataflow engines.
Proceedings of the 3rd ACM SIGMOD Workshop on Algorithms and Systems for MapReduce and Beyond, 2016

2015
Scalability! But at what COST?
Proceedings of the 15th Workshop on Hot Topics in Operating Systems, 2015

Foundations of Differential Dataflow.
Proceedings of the Foundations of Software Science and Computation Structures, 2015

2014
Calibrating Data to Sensitivity in Private Data Analysis.
Proc. VLDB Endow., 2014

2013
Naiad: a timely dataflow system.
Proceedings of the ACM SIGOPS 24th Symposium on Operating Systems Principles, 2013

Formal Analysis of a Distributed Algorithm for Tracking Progress.
Proceedings of the Formal Techniques for Distributed Systems, 2013

Differential Dataflow.
Proceedings of the Sixth Biennial Conference on Innovative Data Systems Research, 2013

2012
A workflow for differentially-private graph synthesis.
Proceedings of the 2012 ACM workshop on Workshop on Online Social Networks, 2012

Managing Large Graphs on Multi-Cores with Graph Awareness.
Proceedings of the 2012 USENIX Annual Technical Conference, 2012

A Simple and Practical Algorithm for Differentially Private Data Release.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

2011
Differential privacy with information flow control.
Proceedings of the 2011 Workshop on Programming Languages and Analysis for Security, 2011

2010
Privacy integrated queries: an extensible platform for privacy-preserving data analysis.
Commun. ACM, 2010

Differentially Private Combinatorial Optimization.
Proceedings of the Twenty-First Annual ACM-SIAM Symposium on Discrete Algorithms, 2010

A data-parallel toolkit for information retrieval.
Proceedings of the Proceeding of the 33rd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2010

Differentially-private network trace analysis.
Proceedings of the ACM SIGCOMM 2010 Conference on Applications, 2010

Probabilistic Inference and Differential Privacy.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

2009
Special Issue On The Thirty-Eighth Annual ACM Symposium On Theory Of Computing (STOC 2006).
SIAM J. Comput., 2009

Differentially Private Approximation Algorithms
CoRR, 2009

Differentially Private Recommender Systems: Building Privacy into the Netflix Prize Contenders.
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

2008
Data Collection with Self-Enforcing Privacy.
ACM Trans. Inf. Syst. Secur., 2008

A decentralized algorithm for spectral analysis.
J. Comput. Syst. Sci., 2008

Computing Information Retrieval Performance Measures Efficiently in the Presence of Tied Scores.
Proceedings of the Advances in Information Retrieval , 2008

2007
Fast computation of low-rank matrix approximations.
J. ACM, 2007

The price of privacy and the limits of LP decoding.
Proceedings of the 39th Annual ACM Symposium on Theory of Computing, 2007

Privacy, accuracy, and consistency too: a holistic solution to contingency table release.
Proceedings of the Twenty-Sixth ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems, 2007

Mechanism Design via Differential Privacy.
Proceedings of the 48th Annual IEEE Symposium on Foundations of Computer Science (FOCS 2007), 2007

2006
Our Data, Ourselves: Privacy Via Distributed Noise Generation.
Proceedings of the Advances in Cryptology - EUROCRYPT 2006, 25th Annual International Conference on the Theory and Applications of Cryptographic Techniques, St. Petersburg, Russia, May 28, 2006

2005
A uniform approach to accelerated PageRank computation.
Proceedings of the 14th international conference on World Wide Web, 2005

On Privacy-Preserving Histograms.
Proceedings of the UAI '05, 2005

Toward Privacy in Public Databases.
Proceedings of the Theory of Cryptography, Second Theory of Cryptography Conference, 2005

On profit-maximizing envy-free pricing.
Proceedings of the Sixteenth Annual ACM-SIAM Symposium on Discrete Algorithms, 2005

Practical privacy: the SuLQ framework.
Proceedings of the Twenty-fourth ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems, 2005

A First Look at Peer-to-Peer Worms: Threats and Defenses.
Proceedings of the Peer-to-Peer Systems IV, 4th International Workshop, 2005

On Spectral Learning of Mixtures of Distributions.
Proceedings of the Learning Theory, 18th Annual Conference on Learning Theory, 2005

2004
Spectral Analysis of Random Graphs with Skewed Degree Distributions.
Proceedings of the 45th Symposium on Foundations of Computer Science (FOCS 2004), 2004

2001
Spectral analysis of data.
Proceedings of the Proceedings on 33rd Annual ACM Symposium on Theory of Computing, 2001

Fast computation of low rank matrix.
Proceedings of the Proceedings on 33rd Annual ACM Symposium on Theory of Computing, 2001

Sampling Techniques for Kernel Methods.
Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

Spectral Partitioning of Random Graphs.
Proceedings of the 42nd Annual Symposium on Foundations of Computer Science, 2001

Web Search via Hub Synthesis.
Proceedings of the 42nd Annual Symposium on Foundations of Computer Science, 2001


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