Adaptive Ranks for Personalized Federated Large Language Models Under Parameter Budget Constraints
The advent of Large Language Models (LLMs) represents a leap toward leveraging AI for the benefit of humanity. However, the realization of this potential requires addressing the growing need for personalization and data privacy across diverse entities. Federated Learning (FL) offers a vital paradigm for developing priv...