Beyond Spectral Gap: The Role of the Topology in Decentralized Learning

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The work presented in this thesis lies at the intersection of Machine Learning (ML) and control theory. The first part is dedicated to the design of Deep Neural Network (DNN) architectures with specific numerical properties, inspired by dynamical systems m ...

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Beyond Spectral Gap: The Role of the Topology in Decentralized Learning

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