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Poster
Thu 15:00 Calibrating Neural Simulation-Based Inference with Differentiable Coverage Probability
Maciej Falkiewicz · Naoya Takeishi · Imahn Shekhzadeh · Antoine Wehenkel · Arnaud Delaunoy · Gilles Louppe · Alexandros Kalousis
Workshop
Privacy-preserving design of graph neural networks with applications to vertical federated learning
Ruofan Wu · Mingyang Zhang · Lingjuan Lyu · Xiaolong Xu · Xiuquan Hao · xinyi fu · Tengfei LIU · Tianyi Zhang · Weiqiang Wang
Workshop
Privacy-Utility Trade-offs in Neural Networks for Medical Population Graphs: Insights from Differential Privacy and Graph Structure
Tamara Mueller · Maulik Chevli · Ameya Daigavane · Daniel Rueckert · Georgios Kaissis