Peer-to-Peer

An in‑depth look at the mathematics and engineering behind CRDTs that enable seamless, server‑less collaborative editing.

Introduction The rise of edge AI has turned billions of everyday devices—smartphones, wearables, sensors, and even tiny micro‑controllers—into capable inference engines. When these devices operate as micro‑agents that collaborate on a common task (e.g., anomaly detection, collaborative robotics, or real‑time traffic forecasting), the system is no longer a simple client‑server setup. Instead, it becomes a federated network where each node contributes compute, data, and model updates while preserving privacy. Scaling distributed inference across such a federation presents a unique set of challenges: ...