accuracy
Appendix Contents 1 Introduction 1 2 Related Work 3 3 The D
Participants are not allowed to modify the training procedure.
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Model and Feature Diversity for Bayesian Neural Networks in Mutual Learning
Utilizing mutual learning can effectively enhance the performance of peer BNNs.
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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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Auditing for Human Expertise
High-stakes prediction tasks (e.g., patient diagnosis) are often handled by trained
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