About this Event
Google Developer Group Taster Session: Privacy in Machine Learning through Flower
Join us for a unique event at the University of Cambridge!
We are hosting the inaugural session of our new Google Developer Group, GDG Cambridge ML.
In our first session, our speakers will discuss privacy issues in machine learning and demonstrate practical approaches to tackle these challenges. The focus of the first session will be on Federated Learning (FL), EU regulation synergizing with FL, and the FL framework Flower and its many applications.
Whether you're a seasoned developer or just curious about tech, this event is perfect for anyone interested in the intersection of privacy and technology. Don't miss out on this exciting opportunity to learn and connect with like-minded individuals!
Speakers
Nic Lane: A professor at the University of Cambridge, he is deeply immersed in studying the design, architecture, and algorithms of scalable and robust end-to-end machine learning (ML) systems. His research is dedicated to developing revolutionary ML systems that leverage multi-modal data to infer and reason over complex real-world situations.
Bill Marino: He is actively involved in research within the Cambridge Machine Learning Systems Lab (CaMLSys) and the Security Group. Additionally, he serves as a Student Fellow at the Leverhulme Centre for the Future of Intelligence (CFI). Before his PhD, Bill practiced law and gained experience in applied AI at Adobe and Stability AI. He was also the co-founder and CEO of video AI startup Uru, which was later acquired by Adobe.
Yan Gao: A Research Scientist at Flower Labs and Adjunct Researcher at the University of Cambridge, where his work is at the forefront of federated learning innovation. His groundbreaking work has been recognised and published in several top-tier international conferences and journals, including ICCV, ECCV, ICLR, ICCASP, IMWUT, and many others.
Preslav Aleksandrov: A PhD student in the machine learning systems group at the University of Cambridge. Before this, he worked as a research associate at the University of Glasgow and as a software lead at the semiconductor startup Semi-wise.
Event Venue & Nearby Stays
William Gates Building, 15 JJ Thomson Avenue, Cambridge, United Kingdom
GBP 0.00