{"data":{"id":"28e48b53-7e73-4bd2-b420-132c1ccc40af","title":"AMF-CFL: Anomaly model filtering based on clustering in federated learning","summary":"The paper proposes AMF-CFL, a robust aggregation algorithm for federated learning under non-i.i.d. client data distributions. It filters malicious client updates in two steps, first with multi-k-means clustering and then with z-score-based statistical analysis. The authors report that it preserves global model integrity against four untargeted and two targeted attack types.","solution":"N/A -- no mitigation discussed in source.","labels":["security","research"],"sourceUrl":"https://www.sciencedirect.com/science/article/pii/S2214212626000177?dgcid=rss_sd_all","publishedAt":"2026-03-16T20:12:19.557Z","cveId":null,"cweIds":null,"cvssScore":null,"cvssSeverity":null,"severity":"info","attackType":["model_poisoning"],"issueType":"research","affectedPackages":null,"affectedPackageNames":null,"affectedPackageRefs":null,"affectedVendors":[],"affectedVendorsRaw":[],"classifierModel":"claude-haiku-5-5","classifierPromptVersion":"v4","summaryPromptVersion":"v2","headline":null,"headlinePromptVersion":null,"cvssVector":null,"attackVector":null,"attackComplexity":null,"privilegesRequired":null,"userInteraction":null,"exploitMaturity":null,"epssScore":null,"epssCheckedAt":null,"kevDateAdded":null,"advisoryAliases":null,"affectedPackagesSource":null,"affectedPackagesCheckedAt":null,"patchAvailable":null,"disclosureDate":null,"fixReleasedAt":null,"daysToFix":null,"fixCheckedAt":null,"capecIds":null,"crossRefCount":0,"attackSophistication":"moderate","impactType":["integrity"],"aiComponentTargeted":"model","llmSpecific":false,"classifierConfidence":0.9,"researchCategory":"peer_reviewed","atlasIds":null}}