The graph neural networking challenge: a worldwide competition for education in AI/ML for networks
Visualitza/Obre
Cita com:
hdl:2117/360063
Tipus de documentArticle
Data publicació2021-07-01
Condicions d'accésAccés obert
Tots els drets reservats. Aquesta obra està protegida pels drets de propietat intel·lectual i
industrial corresponents. Sense perjudici de les exempcions legals existents, queda prohibida la seva
reproducció, distribució, comunicació pública o transformació sense l'autorització del titular dels drets
ProjecteNGI-POINTER - NGI Program for Open INTErnet Renovation (EC-H2020-871528)
DISEÑANDO UNA INFRAESTRUCTURA DE RED 5G DEFINIDA MEDIANTE CONOCIMIENTO HACIA LA PROXIMA SOCIEDAD DIGITAL (AEI-TEC2017-90034-C2-1-R)
DISEÑANDO UNA INFRAESTRUCTURA DE RED 5G DEFINIDA MEDIANTE CONOCIMIENTO HACIA LA PROXIMA SOCIEDAD DIGITAL (AEI-TEC2017-90034-C2-1-R)
Abstract
During the last decade, Machine Learning (ML) has increasingly become a hot topic in the field of Computer Networks and is expected to be gradually adopted for a plethora of control, monitoring and management tasks in real-world deployments. This poses the need to count on new generations of students, researchers and practitioners with a solid background in ML applied to networks. During 2020, the International Telecommunication Union (ITU) has organized the "ITU AI/ML in 5G challenge", an open global competition that has introduced to a broad audience some of the current main challenges in ML for networks. This large-scale initiative has gathered 23 different challenges proposed by network operators, equipment manufacturers and academia, and has attracted a total of 1300+ participants from 60+ countries. This paper narrates our experience organizing one of the proposed challenges: the "Graph Neural Networking Challenge 2020". We describe the problem presented to participants, the tools and resources provided, some organization aspects and participation statistics, an outline of the top-3 awarded solutions, and a summary with some lessons learned during all this journey. As a result, this challenge leaves a curated set of educational resources openly available to anyone interested in the topic.
CitacióSuárez-varela, J. [et al.]. The graph neural networking challenge: a worldwide competition for education in AI/ML for networks. "Computer communication review", 1 Juliol 2021, vol. 51, núm. 3, p. 9-16.
ISSN0146-4833
Versió de l'editorhttps://dl.acm.org/doi/10.1145/3477482.3477485
Fitxers | Descripció | Mida | Format | Visualitza |
---|---|---|---|---|
Suárez_Varela et al.pdf | 575,1Kb | Visualitza/Obre |