Separable Expert Architecture: Toward Privacy-Preserving LLM Personalization via Composable Adapters and Deletable User Proxies

Chris Schneider, Philipp Schoenegger, Ben Bariach

Current model training approaches incorporate user information directly into shared weights, making individual data removal computationally infeasible without retraining. This pape…