T. Agouti

Federated Learning for Large Language Models: Opportunities, Challenges, and Open Research Directions

This survey provides a comprehensive overview of existing research at the intersection of LLMs and FL, and outlines promising future research directions to advance the scalability, efficiency, and ethical deployment of LLMs in federated settings, paving the way for more trustworthy and privacy-preserving natural language processing systems.