activity
20092022
most citedA simple and practical algorithm for differentially private data release

296 citations · 341 across the 8 of their papers we have counts for

collaborators

8 papers

cs.DC2022

Timestamp tokens: a better coordination primitive for data-processing systems

Andrea Lattuada, Frank McSherry

Distributed data processing systems have advanced through models that expose more and more opportunities for concurrency within a computation. The scheduling of these increasingly…

cs.DB2022

DBSP: Automatic Incremental View Maintenance for Rich Query Languages

Mihai Budiu, Frank McSherry, Leonid Ryzhyk +1

Incremental view maintenance has been for a long time a central problem in database theory. Many solutions have been proposed for restricted classes of database languages, such as…

cs.DC2018

Shared Arrangements: practical inter-query sharing for streaming dataflows

Frank McSherry, Andrea Lattuada, Malte Schwarzkopf +1

Current systems for data-parallel, incremental processing and view maintenance over high-rate streams isolate the execution of independent queries. This creates unwanted redundancy…

cs.DC2018

Megaphone: Latency-conscious state migration for distributed streaming dataflows

Moritz Hoffmann, Andrea Lattuada, Frank McSherry +3

We design and implement Megaphone, a data migration mechanism for stateful distributed dataflow engines with latency objectives. When compared to existing migration mechanisms, Meg…

cs.DS2012★ 14 cited

On Privacy-Preserving Histograms

Shuchi Chawla, Cynthia Dwork, Frank McSherry +1

We advance the approach initiated by Chawla et al. for sanitizing (census) data so as to preserve the privacy of respondents while simultaneously extracting "useful" statistical in…

cs.CR2012★ 30 cited

Calibrating Data to Sensitivity in Private Data Analysis

Davide Proserpio, Sharon Goldberg, Frank McSherry

We present an approach to differentially private computation in which one does not scale up the magnitude of noise for challenging queries, but rather scales down the contributions…