Inria Associated Teams

MLNS2

The MLNS2 (Machine Learning, Network, System and Security) is an Inria International Team involving three Inria teams (AVALON, WIDE, and TRiBE), the ENS Lyon (LIP), and the Université of Yaoundé I (Cameroon).

The aim of this collaboration is to adequately design and investigate efficient approaches to fight against simbox frauds and malware proliferation. Addressing such challenges require mul- tidisciplinary knowledge such as Machine Learning, Network, System, and Security (MLNS2). For more details on the project, please visit our website

 

Embrace

EMBRACE was an Inria International Team between TRiBE and three Brazilian Universities (UFMG, UFG, and UTFPR), funded between 2015 and 2019.

The EMBRACE project addressed the topic of designing efficient solutions for 5G networks taking into account human behavior, uncertainty, and heterogeneity of networking resources.

Although the funding period has ended, the collaboration are still on-going with exchanges of students and researchers scheduled to happen in 2020. For more details on the project, please visit our website.

 

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