{"data":{"id":"9471f9b3-23d9-4a1b-b182-9fd1bfe8a46e","title":"Forgettable Federated Linear Learning With Certified Data Unlearning","summary":"Researchers introduce forgettable federated linear learning (F^2L^2), a federated training strategy for deep neural networks that approximates them linearly using pretrained models. They also present FedRemoval, an unlearning method that lets the server remove a target client without client communication or extra storage. Experiments on small to large datasets, using convolutional networks and foundation models, show the approach balances accuracy with successful unlearning.","solution":"N/A -- no mitigation discussed in source.","labels":["research","privacy"],"sourceUrl":"http://ieeexplore.ieee.org/document/11493577","publishedAt":"2026-04-22T13:16:36.000Z","cveId":null,"cweIds":null,"cvssScore":null,"cvssSeverity":null,"severity":"info","attackType":[],"issueType":"research","affectedPackages":null,"affectedPackageNames":null,"affectedVendors":[],"affectedVendorsRaw":[],"classifierModel":"claude-haiku-5-5","classifierPromptVersion":"v4","summaryPromptVersion":"v2","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":"2026-04-22T13:16:36.000Z","capecIds":null,"crossRefCount":0,"attackSophistication":"moderate","impactType":null,"aiComponentTargeted":"framework","llmSpecific":false,"classifierConfidence":0.85,"researchCategory":"peer_reviewed","atlasIds":null}}