REMISVFU: Federated Unlearning with Representation Misdirection
Research#Federated Learning🔬 Research|Analyzed: Jan 10, 2026 12:06•
Published: Dec 11, 2025 07:05
•1 min read
•ArXivAnalysis
This research explores federated unlearning in a vertical setting using a novel representation misdirection technique. The core concept likely focuses on how to remove or mitigate the impact of specific data points from a federated model while preserving its overall performance.
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View Original"The article's context indicates the research is published on ArXiv, suggesting a focus on academic novelty."