Paper 2606.27382v1 proposes a decentralized network to enable collaboration between heterogeneous, domain-specific models. High training costs currently drive a shift toward lightweight, private architectures. This framework aims to solve the interaction bottleneck between these distributed systems. Researchers can use this approach to reduce deployment complexity while maintaining specialized performance across diverse tasks.