most citedFairness and Privacy in Federated Learning and Their Implications in Healthcare

2 citations · 3 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CR2023★ 2 cited

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…

cs.CR2023★ 1 cited

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…