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Machine Learning in Digital Twin Edge Networks

【来源: | 发布日期:2023-02-26 | 点击数:

   2023年2月26日,星期日,上午10:00,挪威奥斯陆大学信息工程学院张彦教授来银河进行学术交流,为银河青年教师和在读研究生做了题为《Machine Learning in Digital Twin Edge Networks》的学术报告,本次会议由5163银河手机版网站登录院长沈剑主持,童基均、赵新龙副院长出席。

   会议报告过程中,参会师生踊跃发言,就报告内容提出自己的疑问,相互解答,氛围良好。整场会议报告内容丰富,极大的拓展了参会师生的学术视野,增强了对机器学习应用的了解,为各位师生进一步开展学术研究提供了良好的引导作用。

    报告摘要:

    In this talk, we mainly introduce our proposed new research direction:  Digital Twin Edge Networks (DITEN). We first present the concept and model related to Digital Twin (DT) and DITEN. Then, we focus on new research challenges and results when machine learning is exploited in DITEN, including federated learing, deep reinforcement learning and transfer learning. Edge association and DT mobility, as unique research questions, will be defined and analyzed. We are also expecting that the talk will help the audience understand the future development of edge computing, e.g., digital twin edge networks in the context of Metaverse.