{"@type": "dcat:Dataset", "accessLevel": "public", "accrualPeriodicity": "irregular", "bureauCode": ["026:00"], "contactPoint": {"@type": "vcard:Contact", "fn": "Nikunj Oza", "hasEmail": "mailto:Nikunj.C.Oza@nasa.gov"}, "description": "A novel general framework for distributed anomaly detection with theoretical performance guarantees is proposed. 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 \u00d4zero information loss\u00d5. We further report experimental results on synthetic as well as real-world data to demonstrate the viability of our approach.", "distribution": [{"@type": "dcat:Distribution", "description": "lasr09.pdf", "downloadURL": "https://c3.nasa.gov/dashlink/static/media/publication/lasr09.pdf", "format": "PDF", "mediaType": "application/pdf", "title": "lasr09.pdf"}], "identifier": "DASHLINK_539", "issued": "2012-02-26", "keyword": ["ames", "dashlink", "nasa"], "landingPage": "https://c3.nasa.gov/dashlink/resources/539/", "modified": "2025-03-31", "programCode": ["026:029"], "publisher": {"@type": "org:Organization", "name": "Dashlink"}, "title": "Theoretically Optimal Distributed Anomaly Detection"}