{"data":{"id":"2cdb40d0-673c-4217-a77d-78b0595912a7","title":"Octopus: A Robust and Privacy-Preserving Scheme for Compressed Gradients in Federated Learning","summary":"The paper proposes Octopus, a scheme for federated learning that compresses gradients with Sketch and embeds masks in the compressed gradients to protect privacy while reducing communication overhead. It adds an anti-disconnection strategy so model updates continue when some clients drop out. The authors report security and convergence analyses and performance evaluations showing robustness, stability, and efficiency over existing schemes.","solution":"N/A -- no mitigation discussed in source.","labels":["security","privacy","research"],"sourceUrl":"http://ieeexplore.ieee.org/document/11194741","publishedAt":"2025-10-07T13:16:59.000Z","cveId":null,"cweIds":null,"cvssScore":null,"cvssSeverity":null,"severity":"info","attackType":["data_extraction"],"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":["confidentiality"],"aiComponentTargeted":"training_data","llmSpecific":false,"classifierConfidence":0.85,"researchCategory":"peer_reviewed","atlasIds":null}}