Explore five cutting-edge research presentations in federated and collaborative learning through this collection of short talks from leading industry and academic experts. Learn from Ziyue Xu of NVIDIA, Sean Augenstein of Google, Sewon Min of UC Berkeley, Kunal Talwar of Apple, and Patrick Foley of Flower as they share their latest insights and developments in distributed machine learning approaches. Gain exposure to diverse perspectives on federated learning challenges, solutions, and applications across major technology companies and research institutions. Discover current trends, methodologies, and practical implementations in collaborative learning systems that enable privacy-preserving machine learning across distributed data sources.