  Earthquake Early Warning state of the art systems rely on a network of
sensors connected to a fusion center in a client-server paradigm. Instead, we
propose moving computation to the edge, with detector nodes that probe the
environment and process information from nearby probes to detect earthquakes
locally. Our approach tolerates multiple node faults and partial network
disruption and keeps all data locally, enhancing privacy. This paper describes
our proposal's rationale and explains its architecture. We then present an
implementation using Raspberry, NodeMCU, and the Crowdquake machine learning
model.
