IMPORTANT: This workshop is canceled due to multiple travel cancelations by our panelists and speakers because of the recent Corona virus outbreak.
The first international workshop on:
Domain-Customized AutoML for networking and systems
The first workshop on "Towards A Domain-Customized Automated Machine Learning Framework For Networks and Systems" aims at creating a coalition of researchers who aim to build an AutoML platform for network operators. The platform helps network operators bridge the expertise gap when using ML to solve challenging networking problems.
Researchers at this workshop will discuss how we, as a community, can build a framework that: enables users to use ML to solve problems in networked systems without having in-depth ML expertise and that, similarly, enables ML experts to contribute to solving problems in networked systems without having expertise in these domains. We will discuss whether existing AutoML frameworks, as-is can be used by network operators? If not, what needs to change? Can domain customization help? If yes, what are the components of a domain-customized AutoML framework and how are they different from traditional AutoML solutions? What are the important criteria that such a system needs to meet? What are the techniques we can use to build such a framework? What are the collaborations we can initiate across industry and academia to make headway on solving this problem?
We are soliciting submissions for the workshop. Deadline: January 20th 2020. Please see the call for papers for more details.
- Submission Deadline: Jan 15th, 2020 - Midnight AoE
- Acceptance Notifications: Jan 27th, 2020
- Camera-ready Submission: Feb 10th, 2020
- Workshop: March 4th, 2020