Projects per year
Overview
Education/Academic qualification
Comp-Comp Sci, Doctorate Degree
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- 1 Similar Profiles
Projects
- 2 Active
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Privacy-Preserving Federated Learning for Science: Building Sustainable and Trustworthy Foundation Models
Kim, K. (PI), Flynn, T. (CoPI), Kotevska, O. (CoPI), Ryu, M. (CoPI) & Yousefian, F. (CoPI)
Advanced Scientific Computing Research
09/1/24 → 08/31/27
Project: Research
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Privacy-Preserving Federated Learning for Science: Building Sustainable and Trustworthy Foundation Models
Kim, K. (PI), Flynn, T. (CoPI), Kotevska, O. (CoPI), Ryu, M. (CoPI) & Yousefian, F. (CoPI)
Advanced Scientific Computing Research
09/1/24 → 08/31/27
Project: Research
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Optimal Client Sampling in Federated Learning With Client-Level Heterogeneous Differential Privacy
Xu, J., Hu, R. & Kotevska, O., May 1 2026, In: IEEE Internet of Things Journal. 13, 9, p. 18979-18990 12 p.Research output: Contribution to journal › Article › peer-review
Open Access1 Scopus citations -
Robust AI Techniques to Support High-consequence Applications in the Cyber Age
Brogan, J., Passarella, L., Adam, M., Phathanapirom, B., Martindale, N., Stomps, J., Kotevska, O., Yohe, M., Tokola, R., Kerekes, R. & Stewart, S., Jan 1 2026, AI for Cybersecurity: Research and Practice. wiley, p. 567-600 34 p.Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review
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Scalable Federated Learning for Scientific Foundation Models on Leadership-Class Systems
Kotevska, O., Nguyen, T., Da Silva, R. F., Engelmann, C. & Balaprakash, P., Apr 28 2026, EuroMLSys 2026 - Proceedings of the 2026 the 6th European Workshop on Machine Learning and Systems. Association for Computing Machinery, Inc, p. 439-446 8 p. (EuroMLSys 2026 - Proceedings of the 2026 the 6th European Workshop on Machine Learning and Systems).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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The Security of Reinforcement Learning Systems in Electric Grid Domain
Rath, S., ul Abdeen, Z., Kotevska, O., Reshniak, V. & Singh, V. K., Jan 1 2026, AI for Cybersecurity: Research and Practice. wiley, p. 505-532 28 p.Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review
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Balancing Trade-offs: Adaptive Differential Privacy in Interpretable Machine Learning Models
Riya, F. F., Hoque, S., Yang, Y., Sun, J. & Kotevska, O., 2025, 2025 22nd Annual International Conference on Privacy, Security, and Trust, PST 2025. Institute of Electrical and Electronics Engineers Inc., (2025 22nd Annual International Conference on Privacy, Security, and Trust, PST 2025).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review