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medical data

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knowledge distillation (2) patient similarity (1) density-aware training (1) seasonality estimation (1) multi-directional rnn (1) generalizability (1) heterogeneous client (1) multi-object segmentation (1) binary segmentation (1) cross-modal knowledge distillation (1)

Papers

Membership Inference Attacks Against Time-Series Models ACML 2024 MH-pFLID: Model Heterogeneous personalized Federated Learning via Injection and Distillation for Medical Data Analysis ICML 2024 SADI: Similarity-Aware Diffusion Model-Based Imputation for Incomplete Temporal EHR Data AISTATS 2024 Unified Insights: Harnessing Multi-modal Data for Phenotype Imputation via View Decoupling NeurIPS 2024 Density-Aware Personalized Training for Risk Prediction in Imbalanced Medical Data MLHC 2022 Adaptive Privacy Preserving Deep Learning Algorithms for Medical Data WACV 2021 Deep Sensing: Active Sensing using Multi-directional Recurrent Neural Networks ICLR 2018 Hedgehog Shape Priors for Multi-Object Segmentation CVPR 2016