AIME-WS 2026
Joint Proceedings of the AIME 2026 Workshops

Table of Contents

• Preface
  Summary: There were 21 papers submitted for peer review to the three workshops. Of these, 10 papers were accepted by the respective program committees, and seven papers are included in this volume.

1st International Workshop on Multicentric and Privacy-preserving Learning in Healthcare (MULTIPLi Health)

• Privacy-Preserving Federated Learning and Analytics with FLAME (short paper) 1-5
  Marius Herr, Hammam Abu Attieh, Peter Placzek, Mehmed Halilovic, Bruce Schultz, David Hieber, Alexander Röhl, Mehrshad Jaberansary, Paul Brassel, Max Schaible, Toralf Kirsten, Fabian Prasser, Oliver Kohlbacher
• On the Importance of Centralized Learning in Health Research (short paper) 6-14
  Michael Wolfson
• Dynamic Trust-Aware Federated Aggregation for Privacy-Aware Multicentric Healthcare AI (short paper) 15-22
  Elarbi Badidi, Omar Elharrouss

Foundation Models for Public Health and Epidemiology: From Promise to Practice

• Can Zero-Shot LLMs Predict Child Malnutrition? A Fairness and Temporal Robustness Study (short paper) 23-28
  Muhammad Ashad Kabir, Md Ahshanul Haque
• A Graph Attention Transformer Framework for Integrating Socioeconomic and Environmental Data in Disease Prevalence Modeling (short paper) 29-36
  Maksim I. Pirozhkov, Pavel A. Vedeneev
• Machine Learning for Menstrual Recovery Prediction Using Synthetic Wearable Data (short paper) 37-41
  Lillian Shen, Pouria Mortezaagha, Arya Rahgozar

First International Workshop on Knowledge Graphs for Health (KG4Health)

• The Selection Bottleneck Versus Attention Diffusion: Quantifying Coverage–Latency Tradeoffs in Guideline-Grounded Clinical QA (short paper) 42-46
  Ahmed Issaoui, Jennifer Dawson, Roger Zemek, Arya Rahgozar