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学术报告:Distributed Edge Learning for Big Data Analytics: Challenges and Trends(12月14日)

发布日期:2020-12-09      新闻来源:williamhill中国官方网站       责任编辑:      地点:                日期:

IEEE Fellow报告-郭嵩教授

报告题目:Distributed Edge Learning for Big Data Analytics:

Challenges and Trends

报告专家:郭嵩教授,

TheHong KongPolytechnicUniversity

报告时间:2020年12月14日 上午9:00

报告地点:腾讯会议(ID: 294 684 799)

主办单位:williamhill中国官方网站 williamhill中国官方网站

报告人简介:

Distributed Edge Learning for Big Data Analytics:

Challenges and Trends

Song Guo, TheHong KongPolytechnicUniversity

Abstract

When accessing cloud-hosted modern applications, users often suffer a significant latency due to the long geo-distance to the central cloud. Edge computing thus emerges as an alternative paradigm that can reduce this latency by deploying services close to users. In this talk, we will analyze the methodology and limitations of popular approaches for supporting AI services on geo-distributed systems along the evolution from cloud computing to edge computing. In particular, we shall discuss how to deal with different sets of challenges in distributed machine learning over heterogeneous geo-distributed systems. We shall also present our recent studies on parameter-server based framework among networked collaborative edges.

Biography

Song Guo is a Full Professor at Department of Computing, The Hong Kong Polytechnic University. He is also a Changjiang Scholar Chair Professor in MainlandChina. His research interests are mainly in the areas of big data, cloud computing, mobile computing, and distributed systems. He is the recipient of over a dozen Best Paper Awards from IEEE/ACM journals, conferences and technical committees. His work was also recognized by the 2016 Annual Best of Computing: Notable Books and Articles in Computing in ACM Computing Reviews. Prof. Guo is an IEEE Fellow (Computer Society),a Highly Cited Researcher (Clarivate Web of Science), and the Editor-in-Chief of IEEE Open Journal of the Computer Society. He was a Distinguished Lecturer of IEEE Communications Society (ComSoc) and served in the IEEE ComSoc Board of Governors. Prof. Guo has been named on editorial board of a number of prestigious international journals like IEEE Transactions on Parallel and Distributed Systems, IEEE Transactions on Cloud Computing, IEEE Transactions on Emerging Topics in Computing, etc. He has also served as chairs of organizing and technical committees of many international conferences.

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