As data grows in scale and complexity, distributed learning has emerged as a critical paradigm for training machine learning models across diverse and distributed environments. This session will explore the cutting-edge advancements, challenges, and opportunities in this rapidly evolving field. Join us to delve into the future of distributed learning and its transformative potential for AI and beyond.