arXiv cs.LG
· Papers
Federated Learning for the Design of Parametric Insurance Indices under Heterogeneous Renewable Production Losses
arXiv:2601.12178v2 Announce Type: replace Abstract: We propose a federated learning framework for the calibration of parametric insurance indices under heterogeneous renewable energy production losses. Producers locally model their losses using Tweedie generalized linear models and private data, while a common index is