SOURCE-LINKED INTELLIGENCE

Distributed Network Intelligence over Mobile Edge Systems

CORDIS · observation · Publication date unknown

Distributed Network Intelligence over Mobile Edge Systems Network intelligence is envisioned as the cornerstone of 6G mobile edge systems. By deploying distributed machine learning algorithms at end-user terminals, the network can harness collective intelligence from vast data sources, enabling the real-time management of numerous devices in dynamic environments. However, users’ mobility nature renders the end-user terminals constantly encountering varying physical conditions, necessitating fast convergence of the distributed model training for timely decision-making. To accomplish this target, this project aims to deliver a systematic design, grounded in solid theoretical foundations and validated through real-world prototypes, that advances the understanding, optimization, and implementation of distributed network intelligence in mobile edge systems. The objectives are fourfold: (1) establish a theoretical framework for assessing the impact of system parameters across different layers on the efficiency of model training and identifying the domin

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recordType

award

status

SIGNED

region

EU

value

276187.92

unit

EUR