Ensiye Kiyamousavi

According to our database, Ensiye Kiyamousavi authored at least 5 papers between 2023 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

FedDyS: Enhancing Federated Learning Efficiency with Dynamic Sample Selection.

Ensiye Kiyamousavi, Boris Kraychev, Ivan Koychev

Proceedings of the IEEE Symposium on Computers and Communications, 2024

Exo-Spacetimeformer: Time Series Prediction with External Forecast Integration.

Boris Kraychev, Ensiye Kiyamousavi

Proceedings of the Second Tiny Papers Track at ICLR 2024, 2024

2023

FedGrid: Federated Model Aggregation via Grid Shifting.

Boris Kraychev, Ensiye Kiyamousavi, Ivan Koychev

Proceedings of the IEEE/ACM 16th International Conference on Utility and Cloud Computing, 2023

How Federated Machine Learning Helps Increase the Mutual Benefit of Data-Sharing Ecosystems.

Iva Krasteva, Boris Kraychev, Ensiye Kiyamousavi

Proceedings of the 2nd IEEE/ACM International Conference on AI Engineering, 2023

FedSym: Unleashing the Power of Entropy for Benchmarking the Algorithms for Federated Learning.

Ensiye Kiyamousavi, Boris Kraychev, Ivan Koychev

Proceedings of the IEEE International Conference on Big Data, 2023