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1 Ergebnisse
1
Differential Privacy from Locally Adjustable Graph Algorith..:
, In:
2022 IEEE 63rd Annual Symposium on Foundations of Computer Science (FOCS)
,
Dhulipala, Laxman
;
Liu, Quanquan C.
;
Raskhodnikova, Sofya
... - p. 754-765 , 2022
Link:
https://doi.org/10.1109/FOCS54457.2022.00077
RT T1
2022 IEEE 63rd Annual Symposium on Foundations of Computer Science (FOCS)
: T1
Differential Privacy from Locally Adjustable Graph Algorithms: k-Core Decomposition, Low Out-Degree Ordering, and Densest Subgraphs
UL https://suche.suub.uni-bremen.de/peid=ieee-9996885&Exemplar=1&LAN=DE A1 Dhulipala, Laxman A1 Liu, Quanquan C. A1 Raskhodnikova, Sofya A1 Shi, Jessica A1 Shun, Julian A1 Yu, Shangdi YR 2022 SN 2575-8454 K1 Computer science K1 Differential privacy K1 Runtime K1 Data analysis K1 Additives K1 Approximation algorithms K1 Data models K1 differentially private graph algorithms K1 densest subgraph K1 k-core decomposition K1 low-out-degree-ordering K1 local-differentially-private-graph-algorithms SP 754 OP 765 LK http://dx.doi.org/https://doi.org/10.1109/FOCS54457.2022.00077 DO https://doi.org/10.1109/FOCS54457.2022.00077 SF ELIB - SuUB Bremen
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