Abstract: Federated learning (FL) has emerged as a popular distributed machine-learning paradigm. It involves many rounds of iterative communication between nodes to exchange model parameters. With ...

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Define clear success criteria for these initial projects and establish robust monitoring frameworks to track progress. Remember, the goal isn’t to rush into complex federated learning systems ...

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To further improve the performance and practicality, we propose a novel federated optimization algorithm for training logistic regression classifiers using dictionary features. The algorithm does not ...