Anuket Project
Problem Statement -1: GANs
- Sridhar Rao
Name of the submitter: Sridhar K. N. Rao and Lei Huang
Affiliation: Anuket Thoth.
Host: Anuket-Thoth and China Mobile
Contact email: sridharkn@u.nus.edu and huangleiyjy@chinamobile.com
Country: India and China.
Title of problem statement: Synthetic Observability Data Generation using GANs.
Description of problem statement : Refer to below table
Is data set available? (public/private): YES. and Public
Would you offer prizes or incentives for winners of this problem statement? : In Consideration
| Category | Details |
|---|---|
| Id | ITU-ML5G-**-***** |
| Title | Synthetic Observability Data Generation using GANs |
| Description | Observability data can be any of the following:
Availability of these data for AI/ML researchers, who are not part of the Telco, is very difficult. To solve this availability issue, one approach is to generate synthetic observability data. In this project, we propose to generate this synthetic observability data using GANs. For this first round only Telco-Cloud Infrastructure Metrics will be considered. |
| Evaluation criteria |
|
| Data source | Real-World observability data (Telco-Cloud Infrastructure Metrics) will be provided |
| Resources | Computing resources can be provided to those who do not have access to one. |
| Any controls or restrictions | Anything around data, use of the models. |
| Specification/Paper reference | |
| Contact | Sridhar K. N. Rao Lei Huang |
Next Steps:
- Submit the above filled template to Thomas (ITU).
- ITU will make it publicly available on the registration platform,
- Introduction Talk - by Sridhar. Tentative date: 22-06-22. (25 or 27)
- Submit the abstract of the talk (including Bio, Pic), 2 weeks before.
- Dataset - ITU Platform (if its up to 1 or 2gb) or Github.