MDM-OC encodes fine-tuned models as deltas, projects them into orthogonal subspaces, and merges via gradient optimization to enable interference-free continual learning with reversible unmerging.
Learning multiple layers of features from tiny images,
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Modular Delta Merging with Orthogonal Constraints: A Scalable Framework for Continual and Reversible Model Composition
MDM-OC encodes fine-tuned models as deltas, projects them into orthogonal subspaces, and merges via gradient optimization to enable interference-free continual learning with reversible unmerging.