Arne Küderle

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 Arne Küderle trusts overall

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

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

Papers from Arne Küderle's perspective

Ordered by how strongly the researchers Arne Küderle 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. Differential Privacy: A Survey of Results
6. LoAdaBoost: Loss-Based AdaBoost Federated Machine Learning on medical Data
7. Federated Learning for Mobile Keyboard Prediction
8. Deep Models Under the GAN: Information Leakage from Collaborative Deep Learning (Conference on Computer and Communications Security)
9. Confederated Machine Learning on Horizontally and Vertically Separated Medical Data for Large-Scale Health System Intelligence
10. Patient Clustering Improves Efficiency of Federated Machine Learning to predict mortality and hospital stay time using distributed Electronic Medical Records

Their papers

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