Δημοσιεύσεις Σε Συνέδρια

1. Y. Lazaridis, A. Kastellos, A. Psaltis, P. Daras, "FedRAL: Cost-Effective Distributed Annotation via Federated Reinforced Active Learning.", n Proceedings of the 2024 IEEE International Conference on Big Data (BigData), Washington, DC, USA, December 2024, pp. 1–8. https://doi.org/10.1109/BigData62323.2024.10930759
2. A. Kastellos, A. Psaltis, C. Z. Patrikakis, P. Daras, "FedHARM: Harmonizing Model Architectural Diversity in Federated Learning.", in Proceedings of the European Conference on Computer Vision (ECCV 2024), Milan, Italy.
3. A. M. Papadopoulos, P. Melissas, A. Kastellos, P. Katranitsiotis, P. Zaparas, K. Stavridis, P. Daras, "TenebrioVision: A Fully Annotated Dataset of Tenebrio Molitor Larvae Worms in a Controlled Environment for Accurate Small Object Detection and Segmentation.",in Proceedings of the ICPRAM, 2024.
4. A. Psaltis, A. Kastellos, C. Z. Patrikakis, P. Daras, "FedLID: Self-Supervised Federated Learning for Leveraging Limited Image Data.",in Proceedings of the IEEE/CVF International Conference on Computer Vision, October 2023, pp. 1039-1048.