Abstract: Federated Learning (FL) has emerged as a promising framework for privacy-preserving machine learning. FL enables distributed data owners (clients) to collaboratively train a global model ...
Background Early graft failure within 90 postoperative days is the leading cause of mortality after heart transplantation. Existing risk scores, based on linear regression, often struggle to capture ...
Deep learning is increasingly used in financial modeling, but its lack of transparency raises risks. Using the well-known ...
A player's true worth in any coalition is the average marginal contribution across all possible group combinations” Lloyd S. Shapley, 2012 Nobel laureate, transformed economics with the Shapley value.
Abstract: Collaborative allocation effectively integrates multi-party data and improves the quality of collaborative data-driven decisions. Equitable data utility valuation facilitates accurately ...
ABSTRACT: This paper investigates allocation rules in graph-structured cooperative games (hereinafter referred to as graph games) by integrating the notion of network control. A component-restricted ...
ABSTRACT: This paper investigates allocation rules in graph-structured cooperative games (hereinafter referred to as graph games) by integrating the notion of network control. A component-restricted ...
In this tutorial, we explore how to use the SHAP-IQ package to uncover and visualize feature interactions in machine learning models using Shapley Interaction Indices (SII), building on the foundation ...
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