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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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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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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