HKUST-WeBank Joint Lab Webinar: Differentially Private Federated Knowledge Graphs Embedding

10:00am - 11:30am
Online Webinar

Prof SONG Yangqiu from the Department of Computer Science and Engineering of HKUST, who specializes in machine learning and data mining, will share the novel decentralized scalable learning framework - Federated Knowledge Graphs Embedding (FKGE) in the webinar.

 

Join this webinar if you are:

  • Interested in machine learning and data mining, as well as knowledge representation, reasoning and data mining applications
  • Interested in knowledge graph embedding
  • Keen to learn new ideas of the above research area
Event Format
Speakers / Performers:
Prof SONG Yangqiu
Department of Computer Science and Engineering, HKUST

Prof Song's current research focuses on using machine learning an data mining to extract and infer insightful knowledge from big data. The knowledge helps users better enjoy their daily living and social activities or helps data scientists do better data analytics.

Language
English
Recommended For
Alumni
Faculty and staff
PG students
Organizer
School of Engineering
WeBank
Registration

Register here (registration deadline: 16 July 2021)

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