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Harnessing the Power of Choices in Decision Tree Learning Guy Blanc
Decision trees are a fundamental workhorse in machine learning. Their logical and hierarchical structure makes them easy to understand and their predictions easy to explain.
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FedGCN: Convergence-Communication Tradeoffs in Federated Training of Graph Convolutional Networks
However, the cross-client edges naturally exist among clients.
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Fed-GraB: Federated Long-tailed Learning with Self-Adjusting Gradient Balancer
For instance, patients' diagnosis varies substantially across medical centers but collaboratively form long-tailed distributions for
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Contrastive Sampling Chains in Diffusion Models
The code is available at Contrastive-Sampling .
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Distributed Personalized Empirical Risk Minimization
To mitigate the negative effect of data heterogeneity (non-IIDness), two common approaches are clustering and personalization.
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