The Future of Large Language Models is Federated - Seminar 120
Federated Learning One World Seminar via YouTube
Overview
Join a thought-provoking seminar from the Federated Learning One World series where Dr. Nic Lane from Cambridge University and Flower Labs explores the intersection of Large Language Models (LLMs) and federated learning. Discover how federated approaches could shape the future development and deployment of LLMs, offering new perspectives on distributed AI systems. Learn about cutting-edge research and potential applications that combine these two transformative technologies in the field of artificial intelligence. Engage with expert insights during this 72-minute presentation that bridges theoretical concepts with practical implementations in the evolving landscape of federated LLMs.
Syllabus
FLOW Seminar #120: Nic Lane (Cambridge, Flower Labs) The Future of LLMs is Federated
Taught by
Federated Learning One World Seminar