AI & ML
impact 16
Separable Expert Architecture: Toward Privacy-Preserving LLM Personalization via Composable Adapters and Deletable User Proxies
Separable Expert Architecture: Toward Privacy-Preserving LLM Personalization via Composable Adapters and Deletable User Proxies arXiv:2604.21571v1 Announce Type: new Abstract: Current model training approaches incorpora…
Why it matters
Context is key—separable has been building for months. This development could accelerate changes in expert.