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Triadic-OCD: Asynchronous Online Change Detection with Provable Robustness, Optimality, and Convergence
May 7, 2024, 4:43 a.m. | Yancheng Huang, Kai Yang, Zelin Zhu, Leian Chen
cs.LG updates on arXiv.org arxiv.org
Abstract: The primary goal of online change detection (OCD) is to promptly identify changes in the data stream. OCD problem find a wide variety of applications in diverse areas, e.g., security detection in smart grids and intrusion detection in communication networks. Prior research usually assumes precise knowledge of the parameters linked to the data stream. Nevertheless, this presumption often proves unattainable in practical scenarios due to factors such as estimation errors, system updates, etc. This paper …
abstract applications arxiv asynchronous change communication convergence cs.ai cs.lg data data stream detection diverse identify networks prior research robustness security smart stat.ml type
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