arxivcs.LG2026-06-26
Continual Learning for Sequential Personalization of Small Language Models: A Stability Monitoring Analysis
Thomas S. Paula, Lucas S. Kupssinskü, Rodrigo C. Barros
Small Language Models (SLMs) are increasingly being considered for deployment on edge devices such as laptops, enabling private, low-latency, and locally personalized applications. However, personalization requires models to adapt over time to evolving user- or task-specific data…