Collaborative Learning in Agentic Systems: A Collective AI is Greater Than the Sum of Its Parts

The paper introduces MOSAIC, a new algorithm for collaborative learning among autonomous, agentic AI systems that operate in decentralized, dynamic environments. These agents selectively share and reuse modular knowledge (in the form of neural network masks) without requiring synchronization or centralized control. Key innovations include: Task similarity via Wasserstein embeddings and cosine…