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technology becomes more pervasive in terms of both deployment and user adoption. Novel tools from Generative AI will be explored to model the observed spatiotemporal patterns of user demands and produce
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-efficient 1-bit foundation models (BitFM). It includes decision mechanisms for activation based on network conditions, energy availability, and task frequency. The project also seeks to enhance BitFM
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, A. Banchs, M. Fiore, LossLeaP: Learning to Predict for Intent-Based Networking, IEEE INFOCOM 2022 [8] C. Zhang, M. Fiore, I. Murray, P. Patras, CloudLSTM: A Recurrent Neural Model for Spatiotemporal
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the following research problems in their PhD theses: 1) Interpretable machine learning for network adaptation. In this thesis, the student will study how interpretable models and explainable learning