Melih Coşğun

Inclusive Federated Learning Through Compliance-Weighted Noise Allocation in Healthcare AI

2025 · arXiv (Cornell University)

Background: Federated learning (FL) enables collaborative training of clinical AI models without centralizing patient data, but adoption is limited by privacy concerns, heterogeneous institutional compliance, and resource disparities; standard differential privacy (DP) applies uniform noise …