18 citations · 21 across the 6 of their papers we have counts for
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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.ML2023★ 2 cited
Federated Variational Inference Methods for Structured Latent Variable Models
Conor Hassan, Robert Salomone, Kerrie Mengersen
Federated learning methods enable model training across distributed data sources without data leaving their original locations and have gained increasing interest in various fields…