Domain-Adaptive Model Merging across Disconnected Modes

ArXi:2603.05957v1 Announce Type: cross 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 appealing alternative by consolidating knowledge from multiple specialized models into one, avoiding data sharing and reducing re