Distributed Generative Inference of LLM at Internet Scales with Multi-Dimensional Communication Optimization

Collection of system and infrastructure research papers (arXiv) on large-scale ML/LLM inference, edge and distributed computing, data pipelines, and related tooling. Highlights include: BloomBee – an internet-scale decentralized LLM inference framework that optimizes cross-node communication via layer assignment, micro-batching, tensor offloading, lossless compression and speculative decoding; TorchGWAS – an open-source GPU-accelerated GWAS framework that massively increases phenotype-throughput on NVIDIA A100; a cloud-native “Human‑in‑Control” LLM-assisted OpenSearch prototype for private‑云/‑