AI RESEARCH
Echelon: Auditable Aggregate-Only Language-Model Adaptation Across Privacy Boundaries
arXiv CS.AI
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ArXi:2606.02958v1 Announce Type: cross Cross-organization language-model adaptation increasingly faces hard governance constraints: in many deployments, device-level model state-parameters, activations, optimizer state, and per-device updates-cannot be exported outside an administrative boundary. Existing distributed and federated stacks typically assume cross-site model exchange and then retrofit privacy mechanisms, which complicates compliance and makes auditing brittle. We present Echelon, a boundary-first.