Esteemed Machine Learning Visionary Professor Baochun Li Explores the Potential of Federated Learning
13 Jul 2023
Professor Baochun Li unveils his cutting-edge open source federated learning framework, “Plato” in the lecture.
Professor Jianliang Xu, Head of the Department of Computer Science (right) expresses his heartfelt gratitude to Professor Baochun Li for his invaluable insight and expertise in the field of machine learning.
Professor Baochun Li, an esteemed machine learning expert from the University of Toronto in Canada, delivered a highly informative lecture titled “Towards Production Federated Learning Systems” on 5 June 2023. The lecture provided a comprehensive examination of the background and evolution of federated learning, with a particular emphasis on privacy considerations.
During the lecture, Professor Li discussed the benefits of combining asynchrony and federated unlearning, highlighting the advantage of this approach. Furthermore, he introduced “Plato”, a novel open-source framework for federated learning research that he personally developed in November 2020. The scalability and performance of the framework were thoroughly assessed by analysing the existing literature in the field.
Following the enlightening lecture, Professor Li demonstrated his commitment to fostering a vibrant intellectual atmosphere by actively engaging with faculty members and participants. His genuine enthusiasm created a dynamic environment that stimulated the exchange of ideas and encouraged the exploration of potential research collaborations.
As the Bell Canada Endowed Chair of the Department of Electrical and Computer Engineering at the University of Toronto, Professor Li holds a distinguished position in academia. His significant contributions to the field of machine learning, coupled with his extensive research portfolio in areas such as cloud computing, security and privacy, distributed machine learning, federated learning, and networking have earned him the prestigious titles of ACM and IEEE Fellow.
