From Ground to Space: Cloud-Native Edge Machine Learning Case Studies with KubeEdge-Sedna
Offered By: Linux Foundation via YouTube
Course Description
Overview
Explore cloud-native edge machine learning case studies with KubeEdge-Sedna in this 32-minute conference talk by Siqi Luo from Huawei Technologies Co., Ltd. Discover how KubeEdge enables AI applications in robotics and satellite technology. Learn about lifelong learning for edge robots in environment recognition and navigation, as well as joint inference between satellites and ground stations for earth observation. Gain insights into tackling data heterogeneity challenges affecting service quality on robots and satellites. Understand the experience of building cloud-native edge machine learning systems, explore edge-cloud collaborative lifelong learning and joint inference practices, and identify common challenges across different applications of these technologies.
Syllabus
Introduction
About me
Agenda
Edge Computing
KubeEdge
Discovery
Distributed Collaborative AI
Business Value
Challenges
Smart Robotic Perception
Data Heterogeneity
Edge Data Deficiency
Lifelong Learning
Edge Cloud Collaborative Learning
Smart Robotic Perception Demo
Smart Robotic Lifelong Learning Demo
Benefits
Problems
Conclusion
Taught by
Linux Foundation
Tags
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