Targeting Underrepresented Populations in Precision Medicine: A
Federated Transfer Learning Approach

Targeting Underrepresented Populations in Precision Medicine: A Federated Transfer Learning Approach

27 August 2021

Tianxi Cai

Papers citing "Targeting Underrepresented Populations in Precision Medicine: A Federated Transfer Learning Approach"

7 / 7 papers shown

Title
GeoERM: Geometry-Aware Multi-Task Representation Learning on Riemannian Manifolds Aoran Chen Yang Feng 24 0 0 05 May 2025
The Effect of Personalization in FedProx: A Fine-grained Analysis on Statistical Accuracy and Communication Efficiency Xin Yu Zelin He Ying Sun Lingzhou Xue Runze Li FedML 26 0 0 11 Oct 2024
Transfer Learning for Spatial Autoregressive Models Hao Zeng Wei Zhong Xingbai Xu 24 0 0 20 May 2024
Explainable, Domain-Adaptive, and Federated Artificial Intelligence in Medicine A. Chaddad Qizong Lu Jiali Li Y. Katib R. Kateb C. Tanougast Ahmed Bouridane Ahmed Abdulkadir OOD 21 37 0 17 Nov 2022
Federated Causal Inference in Heterogeneous Observational Data Ruoxuan Xiong Allison Koenecke Michael A. Powell Zhu Shen Joshua T. Vogelstein Susan Athey FedML CML 8 45 0 25 Jul 2021
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 294 4,187 0 23 Aug 2019
High-dimensional generalized linear models and the lasso Sara van de Geer 176 748 0 04 Apr 2008