CORDIS Project
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This project focuses on enhancing 6G mobile edge systems through distributed machine learning. By developing a systematic design and real-world prototypes, it aims to optimize model training and improve decision-making in dynamic environments, addressing the challenges posed by user mobility.
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…
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