A Pipelined Collaborative Speculative Decoding Framework for Efficient Edge-Cloud LLM Inference

The project addresses the critical 'last mile' latency of LLMs on resource-constrained devices. While the pipelined approach to speculative decoding across a network is technically sound, this is a core optimization target for companies like Apple, Google, and OpenAI who control the full stack from device OS to cloud inference. With 0 stars and no community traction yet, it serves primarily as a research artifact rather than a defensible tool.