We propose Vittle, a new visual instruction tuning framework that improves robustnessof MLLMs to data distribution shifts by pursuing the minimal sufficient representation.

FLUX is a clustering-based Federated Learning framework that handles non-IID data without prior knowledge of distribution shifts, achieving state-of-the-art performance with minimal overhead.