Randomized Algorithms for Data Reconciliation in Wide Area Aggregate Query Processing
Summary: Randomized algorithms enable efficient deployment of entity-resolution methods for wide-area, federated aggregate queries. They reconcile duplicates and inconsistencies across distributed sources without shipping raw data to a central coordinator, yielding accurate, approximate aggregates. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Fei Xu
- 2. Christopher Jermaine
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