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to (i) understand the very specific challenges of learning from network traffic and (ii) train original AI models that are designed to operate precisely on such data and overcome the identified challenges
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-2023-DN-01-01 ANT Project The project aims to develop a data curation and integration pipeline for farming data of varying modalities and quality, enabling deployment on edge devices using energy
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emphasis on network-level measurements. The successful candidate will investigate the underlying communication structures of P2P and blockchain protocols, develop novel methodologies for large-scale network
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systems. This is a unique opportunity to develop and test new AI techniques for complex interconnected systems, such as those envisioned in future (6G and beyond) communication networks and in mobile & edge
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candidate will analyze massive Key Performance Indicators (KPIs) and service-level demands collected in operational 4G/5G networks, and draw insights on their dynamics and long-term evolution as the 5G