Abstract: Split learning (SL), an emerging distributed deep learning paradigm, enables collaborative model training without exposing clients’ raw data by partitioning neural networks between clients ...

mcp-agent's vision is that MCP is all you need to build agents, and that simple patterns are more robust than complex architectures for shipping high-quality agents.