Olivia Choudhury

According to our database, Olivia Choudhury authored at least 18 papers between 2012 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Approximate, Adapt, Anonymize (3A): a Framework for Privacy Preserving Training Data Release for Machine Learning.

Tamas Madl, Weijie Xu, Olivia Choudhury, Matthew Howard

CoRR, 2023

Federated Learning on Heterogenous Data using Chest CT.

Edward H. Lee, Brendan Kelly, Emre Altinmakas, Hakan Dogan, Errol Colak, Steve Fu, Olivia Choudhury, Ujjwal Ratan, Felipe Kitamura, Hernan Chaves, Mourad Said, Eduardo Pontes Reis, Jaekwang Lim, Patricia Yokoo, Corie Mitchell, Jimmy Zheng, Maryam Mohammadzadeh, Golnaz Houshmand, Wendy Qiu, Joel Hayden, Farnaz Rafiee, Chad Klochko, Nicholas Bevins, S. Simon Wong, Safwan Halabi, Kristen W. Yeom

CoRR, 2023

2020

Anonymizing Data for Privacy-Preserving Federated Learning.

Olivia Choudhury, Aris Gkoulalas-Divanis, Theodoros Salonidis, Issa Sylla, Yoonyoung Park, Grace Hsu, Amar Das

CoRR, 2020

A Syntactic Approach for Privacy-Preserving Federated Learning.

Olivia Choudhury, Aris Gkoulalas-Divanis, Theodoros Salonidis, Issa Sylla, Yoonyoung Park, Grace Hsu, Amar Das

Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

2019

Highly Accurate and Efficient Data-Driven Methods for Genotype Imputation.

Olivia Choudhury, Ankush Chakrabarty, Scott J. Emrich

IEEE ACM Trans. Comput. Biol. Bioinform., 2019

Differential Privacy-enabled Federated Learning for Sensitive Health Data.

Olivia Choudhury, Aris Gkoulalas-Divanis, Theodoros Salonidis, Issa Sylla, Yoonyoung Park, Grace Hsu, Amar Das

CoRR, 2019

A Blockchain Framework for Managing and Monitoring Data in Multi-Site Clinical Trials.

Olivia Choudhury, Noor Fairoza, Issa Sylla, Amar Das

CoRR, 2019

A Blockchain Framework for Ensuring Data Quality in Multi-Organizational Clinical Trials.

Olivia Choudhury, Issa Sylla, Noor Fairoza, Amar Das

Proceedings of the 2019 IEEE International Conference on Healthcare Informatics, 2019

Predicting Adverse Drug Reactions on Distributed Health Data using Federated Learning.

Olivia Choudhury, Yoonyoung Park, Theodoros Salonidis, Aris Gkoulalas-Divanis, Issa Sylla, Amar Das

Proceedings of the AMIA 2019, 2019

2018

Combining Static and Dynamic Storage Management for Data Intensive Scientific Workflows.

Nicholas L. Hazekamp, Nathaniel Kremer-Herman, Benjamín Tovar, Haiyan Meng, Olivia Choudhury, Scott J. Emrich, Douglas Thain

IEEE Trans. Parallel Distributed Syst., 2018

Auto-Generation of Smart Contracts from Domain-Specific Ontologies and Semantic Rules.

Olivia Choudhury, Nolan Rudolph, Issa Sylla, Noor Fairoza, Amar Das

Proceedings of the IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2018

2016

HAPI-Gen: Highly Accurate Phasing and Imputation of Genotype Data.

Olivia Choudhury, Ankush Chakrabarty, Scott J. Emrich

Proceedings of the 7th ACM International Conference on Bioinformatics, 2016

2015

Accelerating Comparative Genomics Work ows in a Distributed Environment with Optimized Data Partitioning and Workflow Fusion.

Olivia Choudhury, Nicholas L. Hazekamp, Douglas Thain, Scott J. Emrich

Scalable Comput. Pract. Exp., 2015

Scaling Up Bioinformatics Workflows with Dynamic Job Expansion: A Case Study Using Galaxy and Makeflow.

Nicholas L. Hazekamp, Joseph Sarro, Olivia Choudhury, Sandra Gesing, Scott J. Emrich, Douglas Thain

Proceedings of the 11th IEEE International Conference on e-Science, 2015

Balancing Thread-Level and Task-Level Parallelism for Data-Intensive Workloads on Clusters and Clouds.

Olivia Choudhury, Dinesh Rajan, Nicholas L. Hazekamp, Sandra Gesing, Douglas Thain, Scott J. Emrich

Proceedings of the 2015 IEEE International Conference on Cluster Computing, 2015

2014

Expanding Tasks of Logical Workflows Into Independent Workflows for Improved Scalability.

Nicholas L. Hazekamp, Olivia Choudhury, Sandra Gesing, Scott J. Emrich, Douglas Thain

Proceedings of the 14th IEEE/ACM International Symposium on Cluster, 2014

Accelerating Comparative Genomics Workflows in a Distributed Environment with Optimized Data Partitioning.

Olivia Choudhury, Nicholas L. Hazekamp, Douglas Thain, Scott J. Emrich

Proceedings of the 14th IEEE/ACM International Symposium on Cluster, 2014

2012

Hyperspectral image classification incorporating bacterial foraging-optimized spectral weighting.

Ankush Chakrabarty, Olivia Choudhury, Pallab Sarkar, Avishek Paul, Debarghya Sarkar

Artif. Intell. Res., 2012