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Stacy Patterson

Privacy-Preserving Federated Learning Private Synthetic Data Generation Quantum Machine Learning Formal Verification For Safety-Critical Systems Performance Optimization For Generative AI
Rensselaer Polytechnic Institute Department of Computer Science

About

Stacy Patterson is an Associate Professor and the Associate Head and Graduate Program Director in the Department of Computer Science. Her research focuses on distributed computing systems, machine learning, and data privacy, where she applies mathematical theory and formal verification to derive provable guarantees about practical applications spanning finance, aviation, cloud computing, and edge computing. Current projects include: Privacy-preserving federated learning for financial fraud prevention Private synthetic data generation for financial applications Quantum machine learning Performance optimization for Gen AI, with applications in information retrieval and code generation Formal verification for safety-critical systems, such as future aviation systems Her research has been supported by grants from NSF, the RPI-IBM AI Research Collaboration, and the NSF IUCRC Center for Research toward Advancing Financial Technologies (CRAFT). She has collaborated with industry partners including PSEG, IBM, and Swift. Dr. Patterson earned her M.S. and Ph.D. degrees in Computer Science from the University of California, Santa Barbara. She subsequently held postdoctoral appointments with the Center for Control, Dynamical Systems, and Computation at UC Santa Barbara, and with the Department of Electrical Engineering at the Technion—Israel Institute of Technology. She is a recipient of a Clare Boothe Luce Assistant Professorship, the IEEE Control Systems Society George S. Axelby Outstanding Paper Award, and the NSF CAREER Award.

Research Performance Summary

105
Total Papers
3100
Total Citations
29
H-Index
2005-2026
Active Research Span

First Recorded Paper

From static distributed systems to dynamic systems

Year: 2005

Citations: 101

Venue: 24th IEEE Symposium on Reliable Distributed Systems (SRDS'05)

Latest Recorded Paper

Measuring Privacy Risks and Tradeoffs in Financial Synthetic Data Generation

Year: 2026

Citations: 0

Venue: The Second International Workshop on Transformative Insights in Multifaceted

Last 10 Years Publication Activity

This timeline shows the professor's yearly publication activity.

2026
3
2025
4
2024
4
2023
8
2022
6
2021
9
2020
10
2019
7
2018
11
2017
5
2016
6

Publication Venues and Collaboration

Journal, Conference, and Book Publication Breakdown

Conference 61
Journal 19
Book 3

Top Coauthors

Patterson Bamieh Castiglia

Research Impact by Period

2025-2026

Period Stats
Papers 7
Citations 27
Avg. Citations / Paper 3.9
H-Index 2

2020-2024

Period Stats
Papers 37
Citations 762
Avg. Citations / Paper 20.6
H-Index 14

2015-2019

Period Stats
Papers 33
Citations 697
Avg. Citations / Paper 21.1
H-Index 15

2010-2014

Period Stats
Papers 15
Citations 1313
Avg. Citations / Paper 87.5
H-Index 10

2005-2009

Period Stats
Papers 13
Citations 301
Avg. Citations / Paper 23.2
H-Index 6

Contact and Professional Links

Contact Information

pattes3@rpi.edu

Detected Research Keywords

Vertical Federated Learning Distributed Compressed Sensing Optimal Leader Selection Noisy Consensus Networks Limitations Local Feedback Distributed Average Consensus Average Consensus Stochastic Vfl Communication Efficient Learning Vertically Partitioned Vertically Partitioned Data