FedSym: Unleashing the Power of Entropy for Benchmarking the Algorithms for Federated Learning. - Ensiye Kiyamousavi; Boris Kraychev; Ivan Koychev (IEEE Big Data, 2023)

How Federated Machine Learning Helps Increase the Mutual Benefit of Data-Sharing Ecosystems. - Iva Krasteva; Boris Kraychev; Ensiye Kiyamousavi (CAIN, 2023)

FedGrid: Federated Model Aggregation via Grid Shifting. - Boris Kraychev; Ensiye Kiyamousavi; Ivan Koychev (UCC, 2023)

Exo-Spacetimeformer: Time Series Prediction with External Forecast Integration. - Boris Kraychev; Ensiye Kiyamousavi (Tiny Papers @ ICLR, 2024)

FedDyS: Enhancing Federated Learning Efficiency with Dynamic Sample Selection. - Ensiye Kiyamousavi; Boris Kraychev; Ivan Koychev (ISCC, 2024)