Domain-Adaptive Model Merging Across Disconnected Modes
arXiv:2603.05957v2 Announce Type: replace-cross
Abstract: Learning across domains is challenging when data cannot be centralized due to privacy or heterogeneity, which limits the ability to train a single comprehensive model. Model merging provides an…