报告平台：腾讯会议 ID:657 845 484,会议密码:2022
报 告 人：Feida Zhu Associate Professor
Today's Computing is characterized by an increasing degree of complexity, comprehensiveness and collaboration. The complexity can be observed by the wide application of gigantic models with a huge number of parameters and structures of an unprecedented level of sophistication. The comprehensiveness is best illustrated by the high heterogeneity of data both in terms of format and source. The collaboration, finally, becomes an obvious trend when computing systems grow more open and decentralized in which various entities interact to achieve collective intelligence with the presence of potentially malicious behavior. Yet the current global data economy is seriously flawed in a number of important aspects including privacy concerns, data valuation, data accounting, data pricing and data auditing. The solution to these long-neglected problems is to establish "data" as a new asset class. In this talk, we aim to introduce the notion of data as asset and examine various components and frontiers in the scope of data asset governance, especially for decentralized collaborative intelligence. We would also illustrate the data economy ecosystem in terms of how data flow among individual users, private sectors and public sectors with case studies on emerging applications.
Prof. Feida Zhu is currently a tenured associate professor in the School of Computing and Information Systems at Singapore Management University. His research interests include blockchain, data asset and AI governance, privacy-aware large-scale data mining and machine learning, graph/network mining and social network analysis, with emphasis on their application to business, financial and consumer innovation. Prof. Zhu has been Co-Principal Investigator (Co-PI) of Singapore Blockchain Innovation Platform, a 20 million-dollar funded project by National Research Foundation (NRF) of Singapore. He is also the Founder and Chief Scientist of SYMPHONY. Prof. Zhu has over 100 peer-reviewed research publications at top international venues, including ICDE, KDD, WWW, JMLR, TODS, TKDE, etc. He won the Early Career Award of PAKDD’19 and is the General Co-Chair of IEEE ICDM’18 and ACM KDD’21.