Call for Papers

2nd KuVS Fachgespräch "Machine Learning and Networking"- 08/09 October 2020 - Würzburg, Germany (virtual event)

Topics of interest include but are not limited to:

Data mining & visualization, statistical modeling, and big data analytics for networking data
Frameworks or tools for data analytics or visualization for networking data
Time series predictions for networking data such as traffic demands, failures, etc.
AI/ML algorithms for anomaly detection and attack step prediction in network security
Protocol design and optimization using ML/AI
Deep learning and reinforcement learning in network control & management
Resource allocation for virtualized networks using machine learning
Machine learning & transfer learning for prediction of networking data & control decisions
Practical implementations or experience with ML/AI in networking
Self-learning and adaptive networking protocols and algorithms
Self-X networks: Self-learning, self-driving, self-repairing, etc.
New concepts like empowerment for quantifying and improving ML/AI-based concepts

Two forms of contribution are possible:

Title, abstract and reference of previously published work to present and discuss it in the KuVS community.
Title and abstract for a visionary talk, a project or teaching report, or presentation of original work.

Submission:

All contributions should be submitted as PDF documents. Submissions may be up to 2 pages long and should be formatted according to the IEEE conference layout.
Link to submission system: https://easychair.org/conferences/?conf=kuvsfgmln2020

Important dates:

Hubland Süd, Geb. M2