Matches in SemOpenAlex for { <https://semopenalex.org/work/W2536834609> ?p ?o ?g. }
Showing items 1 to 54 of
54
with 100 items per page.
- W2536834609 abstract "Secure multi-party computation (MPC) allows multiple parties to perform a joint computation without disclosing their private inputs. Many real-world joint computation use cases, however, involve data analyses on very large data sets, and are implemented by software engineers who lack MPC knowledge. Moreover, the collaborating parties -- e.g., several companies -- often deploy different data analytics stacks internally. These restrictions hamper the real-world usability of MPC. To address these challenges, we combine existing MPC frameworks with data-parallel analytics frameworks by extending the Musketeer big data workflow manager [4]. Musketeer automatically generates code for both the sensitive parts of a workflow, which are executed in MPC, and the remainder of the computation, which runs on scalable, widely-deployed analytics systems. In a prototype use case, we compute the Herfindahl-Hirschman Index (HHI), an index of market concentration used in antitrust regulation, on an aggregate 156GB of taxi trip data over five transportation companies. Our implementation computes the HHI in about 20 minutes using a combination of Hadoop and VIFF [1], while even mixed mode MPC with VIFF alone would have taken many hours. Finally, we discuss future research questions that we seek to address using our approach." @default.
- W2536834609 created "2016-10-28" @default.
- W2536834609 creator A5025826441 @default.
- W2536834609 creator A5030050875 @default.
- W2536834609 creator A5054058568 @default.
- W2536834609 creator A5062155654 @default.
- W2536834609 creator A5073378468 @default.
- W2536834609 date "2016-10-24" @default.
- W2536834609 modified "2023-10-14" @default.
- W2536834609 title "DEMO" @default.
- W2536834609 cites W1485800369 @default.
- W2536834609 cites W2004154155 @default.
- W2536834609 cites W2088675571 @default.
- W2536834609 cites W2124011064 @default.
- W2536834609 cites W2141420453 @default.
- W2536834609 cites W2158106499 @default.
- W2536834609 cites W2547330225 @default.
- W2536834609 cites W287743910 @default.
- W2536834609 cites W3123665471 @default.
- W2536834609 doi "https://doi.org/10.1145/2976749.2989034" @default.
- W2536834609 hasPublicationYear "2016" @default.
- W2536834609 type Work @default.
- W2536834609 sameAs 2536834609 @default.
- W2536834609 citedByCount "3" @default.
- W2536834609 countsByYear W25368346092017 @default.
- W2536834609 countsByYear W25368346092019 @default.
- W2536834609 countsByYear W25368346092020 @default.
- W2536834609 crossrefType "proceedings-article" @default.
- W2536834609 hasAuthorship W2536834609A5025826441 @default.
- W2536834609 hasAuthorship W2536834609A5030050875 @default.
- W2536834609 hasAuthorship W2536834609A5054058568 @default.
- W2536834609 hasAuthorship W2536834609A5062155654 @default.
- W2536834609 hasAuthorship W2536834609A5073378468 @default.
- W2536834609 hasBestOaLocation W25368346091 @default.
- W2536834609 hasConcept C41008148 @default.
- W2536834609 hasConceptScore W2536834609C41008148 @default.
- W2536834609 hasFunder F4320306076 @default.
- W2536834609 hasLocation W25368346091 @default.
- W2536834609 hasOpenAccess W2536834609 @default.
- W2536834609 hasPrimaryLocation W25368346091 @default.
- W2536834609 hasRelatedWork W2049775471 @default.
- W2536834609 hasRelatedWork W2093578348 @default.
- W2536834609 hasRelatedWork W2350741829 @default.
- W2536834609 hasRelatedWork W2358668433 @default.
- W2536834609 hasRelatedWork W2376932109 @default.
- W2536834609 hasRelatedWork W2382290278 @default.
- W2536834609 hasRelatedWork W2390279801 @default.
- W2536834609 hasRelatedWork W2748952813 @default.
- W2536834609 hasRelatedWork W2899084033 @default.
- W2536834609 hasRelatedWork W3004735627 @default.
- W2536834609 isParatext "false" @default.
- W2536834609 isRetracted "false" @default.
- W2536834609 magId "2536834609" @default.
- W2536834609 workType "article" @default.