AIBullisharXiv – CS AI · 14h ago6/10
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Modular Delta Merging with Orthogonal Constraints: A Scalable Framework for Continual and Reversible Model Composition
Researchers introduce Modular Delta Merging with Orthogonal Constraints (MDM-OC), a machine learning framework that enables multiple fine-tuned models to be merged, updated, and selectively removed without performance degradation or task interference. The approach uses orthogonal projections to prevent model conflicts and supports compliance requirements like GDPR-mandated data deletion.