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- TextdokumentMulti-Party Privacy Preserving Record Linkage in Dynamic Metric Space(BTW 2021, 2021) Sehili, Ziad; Rohde, Florens; Franke, Martin; Rahm, ErhardWe propose and evaluate several approaches for multi-party privacy-preserving record linkage (MP-PPRL) for multiple data sources. To reduce the number of comparisons for scalability we propose a new pivot-based metric space approach that dynamically adapts the selection of pivots for additional sources and growing data volume. We investigate so-called early and late clustering schemes that either cluster matching records per additional source or holistically for all sources. A comprehensive evaluation for different datasets confirms the high effectiveness and efficiency of the proposed methods.