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…
HySec-Flow: Privacy-Preserving Genomic Computing with SGX-based Big-Data Analytics Framework
Chathura Widanage, Weijie Liu, Jiayu Li +4
Trusted execution environments (TEE) such as Intel's Software Guard Extension (SGX) have been widely studied to boost security and privacy protection for the computation of sensiti…