most citedDeep Generative Models, Synthetic Tabular Data, and Differential Privacy: An Overview and Synthesis

1 citations · 1 across the 3 of their papers we have counts for

collaborators
Showing stat.MLShow all

1 paper · 1 filter

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…