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1 Ergebnisse
1
Scalable Differentially Private Clustering via Hierarchical..:
, In:
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
,
Cohen-Addad, Vincent
;
Epasto, Alessandro
;
Lattanzi, Silvio
... - p. 221-230 , 2022
Link:
https://dl.acm.org/doi/10.1145/3534678.3539409
RT T1 <cTitle>Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining</cTitle>: T1 <Title>Scalable Differentially Private Clustering via Hierarchically Separated Trees</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3539409&Exemplar=1&LAN=DE A1 Cohen-Addad, Vincent A1 Epasto, Alessandro A1 Lattanzi, Silvio A1 Mirrokni, Vahab A1 Munoz Medina, Andres A1 Saulpic, David A1 Schwiegelshohn, Chris A1 Vassilvitskii, Sergei PB ACM YR 2022 K1 clustering K1 differential privacy K1 mpc K1 Theory of computation K1 Design and analysis of algorithms K1 Approximation algorithms analysis K1 Facility location and clustering K1 Security and privacy K1 Database and storage security K1 Data anonymization and sanitization K1 Parallel algorithms K1 Massively parallel algorithms SP 221 OP 230 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3534678.3539409 DO https://dl.acm.org/doi/10.1145/3534678.3539409 SF ELIB - SuUB Bremen
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