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Decentralized learning made easy with DecentralizePy

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Decentralized learning made easy with DecentralizePy

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Chat with Graph Search

Multi-agent reinforcement learning with graph convolutional neural networks for optimal bidding strategies of generation units in electricity markets

Communication-efficient distributed training of machine learning models

Breaking the Curse of Dimensionality in Deep Neural Networks by Learning Invariant Representations

From Kernel Methods to Neural Networks: A Unifying Variational Formulation

Phase Retrieval: From Computational Imaging to Machine Learning: A tutorial

Deep Learning Generalization with Limited and Noisy Labels

Fundamental Limits in Statistical Learning Problems: Block Models and Neural Networks

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

D-Cliques: Compensating for Data Heterogeneity with Topology in Decentralized Federated Learning

Machine learning for metallurgy V: A neural-network potential for zirconium