CAiRE Webinar

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Federated Learning Applications: Health Care, Finance and Edge Computing

12:00pm - 1:30pm
online Webinar

AI is advancing by leaps and bounds in learning algorithm development, but AI has many challenges when put to practice. One of the major challenges faced by AI is the serious lack of data, which has led to the inability of many good algorithm models to be effectively applied. Another major challenge is the need to protect user privacy and security in many AI applications. In this talk, Prof. Yang will present federated learning as a solution designed to connect data silos while protecting user privacy and provide security. Prof. Yang will illustrate some theoretical advances and practical applications.

When
Time
12:00pm - 1:30pm
Where
online Webinar
Event Format
Speakers / Performers:
Prof. Qiang Yang
Chief Artificial Intelligence Officer of WeBank and Chair Professor of CSE Department of HKUST

Prof. Qiang Yang is Chief Artificial Intelligence Officer of WeBank and Chair Professor of CSE Department of HKUST. He is the Conference Chair of AAAI-21, President of Hong Kong Society of Artificial Intelligence and Robotics (HKSAIR) , the President of Investment Technology League (ITL) and a former President of IJCAI (2017-2019). He is a fellow of AAAI, ACM, IEEE and AAAS. His research interests include transfer learning and federated learning. He is the founding EiC of two journals: IEEE Transactions on Big Data and ACM Transactions on Intelligent Systems and Technology. His latest books are Transfer Learning and Federated Learning.

Language
English
Recommended For
Alumni
Faculty and staff
PG students
UG students
Organizer
Department of Electronic & Computer Engineering
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