Our paper on FedKuramoto was accepted at IEEE Transactions on Vehicular Technology (JCR IF 7.1).
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Publication of work on robustness, adversarial resilience, and uncertainty-aware intelligence for safety-critical AI systems.
GC-Fed accepted at Information Fusion (JCR IF 15.5), a top-tier AI journal.
FedShift was published in IEEE Access on December 24, 2025.
Secure federated learning via neural cryptography with homomorphic operations was published from a co-supervised Master thesis project.
ProxyLLM was accepted and published in the ECML PKDD 2025 Demo Track, co-authored with Sehyeong Jo.
Federated Large Domain Model System was published in Blockchain: Research and Applications (Vol. 6, Issue 3, 2025).
Published an experimental study on IID-to-Non-IID behavior in federated learning at NIK 2024.
Presented Federated AI Chat System: Tackling Tacit Knowledge Management at the 85th EAGE Annual Conference & Exhibition in Oslo.
Presented work on secure code deployment in federated learning using LLM-based prompt engineering at IEEE CloudCom 2023.