2 papers
stat.ML2024
Federated Learning for Non-factorizable Models using Deep Generative Prior Approximations
Conor Hassan, Joshua J Bon, Elizaveta Semenova +2
Federated learning (FL) allows for collaborative model training across decentralized clients while preserving privacy by avoiding data sharing. However, current FL methods assume c…
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…