arXiv:2604.21571 'Separable Expert': architecture for LLM personalization enabling GDPR right to erasure without retraining
Chris Schneider, Philipp Schoenegger and Ben Bariach published on April 23, 2026 the paper 'Separable Expert Architecture' that solves one of the biggest GDPR problems of personalized LLMs: how to delete individual user data without retraining the entire model. The three-layer architecture (static base, composable LoRA adapters, per-user proxy artifacts) turns unlearning into a deterministic delete operation. Evaluated on Phi-3.5-mini and Llama-3.1-8B.