2 papers
stat.CO2024
Scalable Vertical Federated Learning via Data Augmentation and Amortized Inference
Conor Hassan, Matthew Sutton, Antonietta Mira +1
Vertical federated learning (VFL) has emerged as a paradigm for collaborative model estimation across multiple clients, each holding a distinct set of covariates. This paper introd…
stat.ME2023
Bayesian Cluster Geographically Weighted Regression for Spatial Heterogeneous Data
Wala Draidi Areed, Aiden Price, Helen Thompson +3
Spatial statistical models are commonly used in geographical scenarios to ensure spatial variation is captured effectively. However, spatial models and cluster algorithms can be co…