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Found 4 papers, 2 papers with code
Solution Simplex Clustering for Heterogeneous Federated Learning
We tackle a major challenge in federated learning (FL) -- achieving good performance under highly heterogeneous client distributions.
FedZero: Leveraging Renewable Excess Energy in Federated Learning
Federated Learning (FL) is an emerging machine learning technique that enables distributed model training across data silos or edge devices without data sharing.
DORA: Exploring Outlier Representations in Deep Neural Networks
Deep Neural Networks (DNNs) excel at learning complex abstractions within their internal representations.
Visualizing the Diversity of Representations Learned by Bayesian Neural Networks
Explainable Artificial Intelligence (XAI) aims to make learning machines less opaque, and offers researchers and practitioners various tools to reveal the decision-making strategies of neural networks.
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