高桌晚宴 | Last Mile of Artificial Intelligence: Advances in Federated Learning


日期:2019年10月17日(星期四)
时间:
18:00-20:10
地点:
T1-101
主持人:轩辕哲博士
(北师港浸大数据科学专业课程主任)
主席:黄华雄教授
(北师港浸大理工科技学部院长)
演讲嘉宾:杨强教授 (微众银行首席人工智能官、香港科技大学计算机与工程系教授)
演讲题目:Last Mile of Artificial Intelligence: Advances in Federated Learning

嘉宾简介:

Prof. Qiang Yang is a Chief Artificial Intelligence Officer of Webank, a Chair Professor of Computer Science and Engineering Department at Hong Kong University of Science and Technology (HKUST) and he is the President of Hong Kong Society of Artificial Intelligence and Robotics(HKSAIR). His research interests are artificial intelligence, machine learning, data mining and planning. He is a fellow of AAAI, ACM, IEEE, IAPR, AAAS and CAAI.  He received his PhD from the Department of Computer Science at the University of Maryland, College Park in 1989 and had been a faculty member at the University of Waterloo between 1989 and 1995. He had been the founding director of the Huawei's Noah's Ark Research Lab between 2012 and 2015 and the founding director of HKUST’s Big Data Institute. He was the head of the Computer Science and Engineering Department from 2015 to 2017. He was the founding Editor in Chief of the ACM Transactions on Intelligent Systems and Technology (ACM TIST) and the founding Editor in Chief of IEEE Transactions on Big Data (IEEE TBD). He received the ACM SIGKDD Distinguished Service Award in 2017. He was the President of IJCAI (2017-2019) and is an executive council member of AAAI.

演讲摘要:

Artificial Intelligence has achieved great success and given high people hopes for a more efficient and better society. However, the development of AI has met some major challenges. Chief among the challenges are issues related to the availability of the Big Data. In many practical scenarios, high-quality big data is hardly available. The society demands more governance on the data, especially in light of the recent events related to user privacy. In this talk, I will present these challenges and explore some potential solutions for addressing these challenges.

在线报名

理工科技学部大一学生可通过MIS(http://mis.uic.edu.cn)报名参加此次高桌晚宴。在线报名从2019年10月7日14:00开放,报名截止时间为2019年10月9日17:00(名额有限,先到先得)。

详情请留意UIC HTD邮箱(htd@uic.edu.cn)发出的邮件。