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Randomized Algorithms for Tracking Distributed Count, Frequencies, and Ranks

This research focuses on the development of randomized algorithms designed for effective tracking of distributed counts, frequencies, and ranks across massive data sets. Conducted by Zengfeng Huang at Aarhus University, the study is part of MADALGO, the Center for Massive Data Algorithmics, supported by the Danish National Research Foundation. The proposed algorithms enhance the efficiency and accuracy of data processing in distributed systems, providing innovative solutions for real-time data analysis in various applications.

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Randomized Algorithms for Tracking Distributed Count, Frequencies, and Ranks

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  1. Zengfeng HuangAarhus University RandomizedAlgorithms for Tracking Distributed Count, Frequenciesand Ranks MADALGO – Center for Massive Data Algorithmics, a Center of the Danish National Research Foundation

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