← Search

Text · dataset · 2025

Theoretically Optimal Distributed Anomaly Detection

Listed in NASA Data Portal

A novel general framework for distributed anomaly detection with theoretical performance guarantees is proposed.

Description

Our algorithmic approach combines existing anomaly detection procedures with a novel method for computing global statistics using local sufficient statistics. Under a Gaussian assumption, our distributed algorithm is guaranteed to perform as well as its centralized counterpart, a condition we call Ôzero information lossÕ.

We further report experimental results on synthetic as well as real-world data to demonstrate the viability of our approach.

Links

Topics

Provenance · 1 source records, 7 field assertions
SourceKeyLast seenRaw
NASA Data Portal1fc78f47-6231-4918-a85f-c23673967e3f12 d agoJSON v1
FieldAssertionExtractorEvidence
concepts[field].anzsrc:group:4606enrichment · data nasa govtaxonomy-embedding@1.1.0title+keywords+description (75%)
created_datesource · data nasa govconnector:data_nasa_gov@1.0.0
descriptionsource · data nasa govconnector:data_nasa_gov@1.0.0/notes
license_textsource · data nasa govconnector:data_nasa_gov@1.0.0
publication_datesource · data nasa govconnector:data_nasa_gov@1.0.0
titlesource · data nasa govconnector:data_nasa_gov@1.0.0/title
updated_datesource · data nasa govconnector:data_nasa_gov@1.0.0