{"data":{"id":"f731ebcd-00fd-4744-8c34-77fc892c927c","title":"Detection and Mitigation Data Poisoning Attacks in Multimodal Online Federated Learning","summary":"This paper presents the first systematic study of data poisoning attacks in Multimodal Online Federated Learning (MMO-FL), a setting where IoT edge devices train models in a decentralized, real-time way across multiple modalities. The authors give a theoretical analysis of how such attacks degrade learning performance, then propose a detection and mitigation algorithm for MMO-FL systems. Experiments on the UCI-HAR and USC-HAD multimodal datasets show the approach detects and mitigates the attacks.","solution":"The source proposes a novel detection and mitigation algorithm tailored to MMO-FL systems, but does not state a specific fix, patch, configuration change or workaround.","labels":["security","research"],"sourceUrl":"http://ieeexplore.ieee.org/document/11579416","publishedAt":"2026-06-25T13:17:25.000Z","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":"2026-06-25T13:17:25.000Z","fixReleasedAt":null,"daysToFix":null,"fixCheckedAt":null,"capecIds":null,"crossRefCount":0,"attackSophistication":"advanced","impactType":["integrity"],"aiComponentTargeted":"training_data","llmSpecific":false,"classifierConfidence":0.93,"researchCategory":"peer_reviewed","atlasIds":null}}