David B. Emerson

According to our database, David B. Emerson authored at least 17 papers between 2015 and 2026.

Collaborative distances:

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

2026

On Privacy Leakage in Tabular Diffusion Models: Influential Factors, Attacker Knowledge, and Metrics.

Masoumeh Shafieinejad, David B. Emerson, Behnoosh Zamanlooy, Elaheh Bassak, Fatemeh Tavakoli, Sara Kodeiri, Marcelo Lotif, Xi He

CoRR, May, 2026

MEMOA: Massive Mixtures of Online Agents via Mean-Field Decentralized Nash Equilibria.

Xuwei Yang, David B. Emerson, Fatemeh Tavakoli, Anastasis Kratsios

CoRR, May, 2026

CAPID: Context-Aware PII Detection for Question-Answering Systems.

Mariia Ponomarenko, Sepideh Abedini, Masoumeh Shafieinejad, David B. Emerson, Shubhankar Mohapatra, Xi He

Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026

2025

MaskSQL: Safeguarding Privacy for LLM-Based Text-to-SQL via Abstraction.

Sepideh Abedini, Shubhankar Mohapatra, David B. Emerson, Masoumeh Shafieinejad, Jesse C. Cresswell, Xi He

CoRR, September, 2025

FedRAG: A Framework for Fine-Tuning Retrieval-Augmented Generation Systems.

Val Andrei Fajardo, David B. Emerson, Amandeep Singh, Veronica Chatrath, Marcelo Lotif, Ravi Theja, Alex Cheung, Izuki Matsuba

CoRR, June, 2025

Adaptive Latent-Space Constraints in Personalized FL.

Sana Ayromlou, David B. Emerson

CoRR, May, 2025

Online Federation For Mixtures of Proprietary Agents with Black-Box Encoders.

Xuwei Yang, Fatemeh Tavakoli, David B. Emerson, Anastasis Kratsios

CoRR, May, 2025

Adaptive Latent-Space Constraints in Personalized Federated Learning.

Sana Ayromlou, David B. Emerson

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

2024

A Comprehensive View of Personalized Federated Learning on Heterogeneous Clinical Datasets.

Fatemeh Tavakoli, David B. Emerson, Sana Ayromlou, John Taylor Jewell, Amrit Krishnan, Yuchong Zhang, Amol Verma, Fahad Razak

Proceedings of the Machine Learning for Healthcare Conference, 2024

2023

FENDA-FL: Personalized Federated Learning on Heterogeneous Clinical Datasets.

Fatemeh Tavakoli, David B. Emerson, John Jewell, Amrit Krishnan, Yuchong Zhang, Amol Verma, Fahad Razak

CoRR, 2023

An Error Estimator for Electrically Coupled Liquid Crystals.

J. H. Adler, David B. Emerson

CoRR, 2023

2021

On oversampling imbalanced data with deep conditional generative models.

Val Andrei Fajardo, David Findlay, Charu Jaiswal, Xinshang Yin, Roshanak Houmanfar, Honglei Xie, Jiaxi Liang, Xichen She, David B. Emerson

Expert Syst. Appl., 2021

2017

Combining Deflation and Nested Iteration for Computing Multiple Solutions of Nonlinear Variational Problems.

J. H. Adler, David B. Emerson, Patrick E. Farrell, Scott P. MacLachlan

SIAM J. Sci. Comput., 2017

A drift-diffusion solver using a finite-element method to analyze carrier dynamics at ultra-high solar concentrations.

Emily S. Carlson, Margaret Stevens, David B. Emerson, Xiaozhe Hu, James H. Adler, Thomas E. Vandervelde

Proceedings of the IEEE 60th International Midwest Symposium on Circuits and Systems, 2017

2016

Constrained Optimization for Liquid Crystal Equilibria.

James H. Adler, David B. Emerson, Scott P. MacLachlan, Thomas A. Manteuffel

SIAM J. Sci. Comput., 2016

2015

Energy Minimization for Liquid Crystal Equilibrium with Electric and Flexoelectric Effects.

James H. Adler, Timothy J. Atherton, Thomas R. Benson, David B. Emerson, Scott P. MacLachlan

SIAM J. Sci. Comput., 2015

An Energy-Minimization Finite-Element Approach for the Frank-Oseen Model of Nematic Liquid Crystals.

James H. Adler, Timothy J. Atherton, David B. Emerson, Scott P. MacLachlan

SIAM J. Numer. Anal., 2015