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cs.LG2026
Heavy-Tailed Class-Conditional Priors for Long-Tailed Generative Modeling
Aymene Mohammed Bouayed, Samuel Deslauriers-Gauthier, Adrian Iaccovelli +1
Variational Autoencoders (VAEs) with global priors trained under an imbalanced empirical class distribution can lead to underrepresentation of tail classes in the latent space. Whi…
cs.LG2024
FedPID: An Aggregation Method for Federated Learning
Leon Mächler, Gustav Grimberg, Ivan Ezhov +4
This paper presents FedPID, our submission to the Federated Tumor Segmentation Challenge 2024 (FETS24). Inspired by FedCostWAvg and FedPIDAvg, our winning contributions to FETS21 a…