This surface exposes the learning-loop evidence behind VetIOS: dataset versions, benchmark reports, calibration reports, audit activity, secure aggregation commitments, and the live federation layer for participating clinics.
VetIOS already compounds value through inference, outcomes, benchmarks, and governance. This page makes that loop inspectable outside the operator console.
The federation substrate now supports tenant memberships, coordinator governance, automated allow-list enrollment, scheduled rounds, weighted aggregation, and masked secure-aggregation commitments that suppress raw site-delta artifacts.
Participating clinics can now publish site snapshots, enroll through coordinator governance, and run weighted federation rounds that aggregate champion artifact structure into a network candidate.
Automated round scheduling, allow-list enrollment, benchmark-calibration gates, and masked contribution commitments are now live. VetIOS can operate as a network learning plane without publishing raw site identifiers or raw per-site delta artifacts in the aggregate output.