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and peer-to-peer (P2P) networks. This position offers a unique opportunity to work on cutting-edge research on the performance, scalability, and security of decentralized systems, with a particular
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this thesis, the student will investigate sustainable distributed inference architectures, and on distributed learning algorithms, that aim at equalizing the performance of in-network green ML/AI as observed
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will design original AI solutions for the automation of network functionalities to be deployed in next-generation 6G systems. The focus of the studies will be on surpassing practical limitations
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reliability by augmenting its outputs with proprietary foundation models when needed. Expected results include identifying Agritech use cases for BitFM, designing and evaluating system architecture under
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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