2 citations · 7 across the 7 of their papers we have counts for
3 papers · 1 filter
Fairness and Privacy in Federated Learning and Their Implications in Healthcare
Navya Annapareddy, Jade Preston, Judy Fox
Currently, many contexts exist where distributed learning is difficult or otherwise constrained by security and communication limitations. One common domain where this is a conside…
Towards Fair and Privacy Preserving Federated Learning for the Healthcare Domain
Navya Annapareddy, Yingzheng Liu, Judy Fox
Federated learning enables data sharing in healthcare contexts where it might otherwise be difficult due to data-use-ordinances or security and communication constraints. Distribut…
Population Age Group Sensitivity for COVID-19 Infections with Deep Learning
Md Khairul Islam, Tyler Valentine, Royal Wang +3
The COVID-19 pandemic has created unprecedented challenges for governments and healthcare systems worldwide, highlighting the critical importance of understanding the factors that…