40 citations · 104 across the 9 of their papers we have counts for
10 papers
Facilitating Federated Genomic Data Analysis by Identifying Record Correlations while Ensuring Privacy
Leonard Dervishi, Xinyue Wang, Wentao Li +4
With the reduction of sequencing costs and the pervasiveness of computing devices, genomic data collection is continually growing. However, data collection is highly fragmented and…
De-identification of Unstructured Clinical Texts from Sequence to Sequence Perspective
Md Monowar Anjum, Noman Mohammed, Xiaoqian Jiang
In this work, we propose a novel problem formulation for de-identification of unstructured clinical text. We formulate the de-identification problem as a sequence to sequence learn…
Federated Learning Algorithms for Generalized Mixed-effects Model (GLMM) on Horizontally Partitioned Data from Distributed Sources
Wentao Li, Jiayi Tong, Md. Monowar Anjum +3
Objectives: This paper develops two algorithms to achieve federated generalized linear mixed effect models (GLMM), and compares the developed model's outcomes with each other, as w…
Privacy-Preserving and Efficient Verification of the Outcome in Genome-Wide Association Studies
Anisa Halimi, Leonard Dervishi, Erman Ayday +5
Providing provenance in scientific workflows is essential for reproducibility and auditability purposes. Workflow systems model and record provenance describing the steps performed…
Privacy-Preserving Methods for Vertically Partitioned Incomplete Data
Yi Deng, Xiaoqian Jiang, Qi Long
Distributed health data networks that use information from multiple sources have drawn substantial interest in recent years. However, missing data are prevalent in such networks an…
Secure and Differentially Private Bayesian Learning on Distributed Data
Yeongjae Gil, Xiaoqian Jiang, Miran Kim +1
Data integration and sharing maximally enhance the potential for novel and meaningful discoveries. However, it is a non-trivial task as integrating data from multiple sources can p…
Privacy-Preserving Tensor Factorization for Collaborative Health Data Analysis
Jing Ma, Qiuchen Zhang, Jian Lou +3
Tensor factorization has been demonstrated as an efficient approach for computational phenotyping, where massive electronic health records (EHRs) are converted to concise and meani…
Efficient Determination of Equivalence for Encrypted Data
Jason N. Doctor, Jaideep Vaidya, Xiaoqian Jiang +6
Secure computation of equivalence has fundamental application in many different areas, including healthcare. We study this problem in the context of matching an individual identity…
SAFETY: Secure gwAs in Federated Environment Through a hYbrid solution with Intel SGX and Homomorphic Encryption
Md Nazmus Sadat, Md Momin Al Aziz, Noman Mohammed +3
Recent studies demonstrate that effective healthcare can benefit from using the human genomic information. For instance, analysis of tumor genomes has revealed 140 genes whose muta…
Predicting accurate probabilities with a ranking loss
Aditya Menon, Xiaoqian Jiang, Shankar Vembu +2
In many real-world applications of machine learning classifiers, it is essential to predict the probability of an example belonging to a particular class. This paper proposes a sim…