Design and development of algorithms based on control theory with application to Federated Learning...
The research grant will be aimed at the study, design and development of control laws and
algorithms applied to the Federated Learning topic. In particular, this work will aim to deepen research on distributed control theory, usually applied to network control problems (such as the control of smart grids), to apply it to Federated Learning algorithms, in order to be able to analyze the properties of convergence and stability. The research activities will be characterized by a multi-disciplinary approach, with the main domain of interest being the medical one.
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