HKUST-WeBank Join Lab Webinar: Differentially Private Federated Knowledge Graphs Embedding
Supporting the below United Nations Sustainable Development Goals:支持以下聯合國可持續發展目標：支持以下联合国可持续发展目标：
Prof Yangqiu Song from the Department of Computer Science and Engineering of HKUST, who specializes in machine learning and data mining, will share his proposed 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 lean new ideas about the above research area
Prof Yangqiu Song is an Assistant Professor at HKUST.
His current reearch 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.
For registration, please visit here (registration deadline: 16 July 2021)