Imrana Abdullahi Yari

Artificial Intelligence · 2022

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 37 citations into it
• Federated & Distributed Learning — 8 citations into it
• Health Information Management — 7 citations into it
• Medical & Health AI — 5 citations into it

Whom Imrana Abdullahi Yari trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Dianbo Liu
2. Li Huang
3. Cynthia Dwork

Papers from Imrana Abdullahi Yari's perspective

Ordered by how strongly the researchers Imrana Abdullahi Yari trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Learning with Differential Privacy
2. MIMIC-III, a freely accessible critical care database
3. Practical Secure Aggregation for Privacy-Preserving Machine Learning
4. Federated Tensor Factorization for Computational Phenotyping
5. LoAdaBoost: Loss-Based AdaBoost Federated Machine Learning on medical Data
6. Differential Privacy: A Survey of Results
7. Confederated Machine Learning on Horizontally and Vertically Separated Medical Data for Large-Scale Health System Intelligence
8. Federated Learning for Mobile Keyboard Prediction
9. Patient Clustering Improves Efficiency of Federated Machine Learning to predict mortality and hospital stay time using distributed Electronic Medical Records
10. Privacy-preserving Federated Brain Tumour Segmentation

Their papers

• Federated Learning for Healthcare: Systematic Review and Architecture Proposal (2022) — 598 citations