Blog Posts

Our paper on FedKuramoto was accepted at IEEE Transactions on Vehicular Technology (JCR IF 7.1).

Official submission of my Ph.D. thesis, Toward Federated AI: Integrating Reliable Training, Automated Deployment, and Secure Inference.

Publication of work on robustness, adversarial resilience, and uncertainty-aware intelligence for safety-critical AI systems.

Presented Federated Knowledge Cloud for Subsurface Digitalization at Vår Energi Stavanger Office under the NCS2030 project.

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.