Raman Zatsarenko

PhD student, GCCIS, Rochester Institute of Technology

Joined

June 2024

Names

Raman Zatsarenko (Preferred)

Emails

****@rit.edu (Confirmed)

Personal Links

Google Scholar

DBLP

Career & Education History

PhD student

GCCIS, Rochester Institute of Technology (rit.edu)

2024 – 2029

Advisors, Relations & Conflicts

PhD Advisor

Leonid Reznik

Present

Coauthor

Sergei Chuprov

Present

Coauthor

Dmitrii Korobeinikov

Present

Coauthor

Paulo Shakarian

Present

Coauthor

Richard D Lange

Present

Expertise

deep learning

machine learning

federated learning

Present

Publications

Boosting Federated Model Convergence with Anomaly Detection and Exclusion
Raman Zatsarenko, Leon Reznik, Sergei Chuprov, Dmitrii Korobeinikov, Angel Peredo
- ICLR 2026 Conference Withdrawn Submission
- Readers: Everyone
No Trust, No Learning? Improving Federated Learning Security and Robustness with Reputation and Trust
Sergei Chuprov, Dmitrii Korobeinikov, Raman Zatsarenko, Leonid Reznik
- AIMS 2025 Workshop T2P Submission
- Readers: Everyone
Data Quality Based Intelligent Instrument Selection with Security Integration
Sergei Chuprov, Raman Zatsarenko, Leon Reznik, Igor Khokhlov
- ACM J. Data Inf. Qual. 2024
- Readers: Everyone
Trust-Based Anomaly Detection in Federated Edge Learning
Raman Zatsarenko, Sergei Chuprov, Dmitrii Korobeinikov, Leon Reznik
- AIIoT 2024
- Readers: Everyone
Intelligent Soccer Event Detection and Highlights Generation with Broadcast Cues Integration
Anirudh Narayanan, Sergei Chuprov, Leon Reznik, Raman Zatsarenko, Dmitrii Korobeinikov
- ICMLA 2024
- Readers: Everyone
Robust Training on the Edge: Federated vs. Transfer Learning for Computer Vision in Intelligent Transportation Systems
Sergei Chuprov, Raman Zatsarenko, Dmitrii Korobeinikov, Leon Reznik
- AIIoT 2024
- Readers: Everyone

Raman Zatsarenko

Names

Emails

Personal Links

Career & Education History

Advisors, Relations & Conflicts

Expertise

Publications

Boosting Federated Model Convergence with Anomaly Detection and Exclusion

No Trust, No Learning? Improving Federated Learning Security and Robustness with Reputation and Trust

Data Quality Based Intelligent Instrument Selection with Security Integration

Trust-Based Anomaly Detection in Federated Edge Learning

Intelligent Soccer Event Detection and Highlights Generation with Broadcast Cues Integration

Robust Training on the Edge: Federated vs. Transfer Learning for Computer Vision in Intelligent Transportation Systems

Co-Authors