Xinchi Qiu
PhD Student – Computer Science
University of Cambridge
Flower – An Opensource Federated Learning Framework
Open Data
Wednesday February 8th, 11:25am-11:35am GMT
St James, 4th Floor
Flower – An Opensource Federated Learning Framework
Flower is a Friendly Federated Learning Framework. It provides a unified approach to federated learning, analytics, and evaluation. It federates any workload, any ML framework, and any programming language. The talk will give a brief introduction for the framework and its applications throughout the banks, hospitals and blockchain companies.
Bio
I am a Ph.D. student working under the supervision of Prof. Nicholas Lane at Cambridge Machine Learning Systems Lab. I was a member of the Big Data Institute at the University of Oxford from 2019 to 2020. I have a background in Mathematics and Statistics and am passionate about privacy, scalable and efficient optimization for machine learning and federated learning.
Google Scholar: https://scholar.google.com/citations?user=yW6vsS8AAAAJ&hl=en
Check out our federated learning framework Flower: https://flower.dev/