TY - CHAP A1 - Polato, Mirko A1 - Hammer, Barbara A1 - Schleif, Frank-Michael T1 - Machine learning in distributed, federated and non-stationary environments - recent trends T2 - 32nd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2024, Bruges, Belgium, October 9-11, 2024 Y1 - 2024 U6 - https://doi.org/10.14428/ESANN/2024.ES2024-3 ER - TY - CHAP A1 - Röder, Manuel A1 - Schleif, Frank-Michael T1 - Sparse Uncertainty-Informed Sampling from Federated Streaming Data T2 - 32nd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2024, Bruges, Belgium, October 9-11, 2024 Y1 - 2024 U6 - https://doi.org/10.14428/ESANN/2024.ES2024-9 ER - TY - CHAP A1 - Xu, Bangguo A1 - Yan, Simei A1 - Liu, Liang A1 - Schleif, Frank-Michael ED - Villmann, Thomas ED - Kaden, Marika ED - Geweniger, Tina ED - Schleif, Frank-Michael T1 - Optimizing YOLOv5 for Green AI: A Study on Model Pruning and Lightweight Networks T2 - Advances in Self-Organizing Maps, Learning Vector Quantization, Interpretable Machine Learning, and Beyond - Proceedings of the 15th International Workshop, WSOM+ 2024, Mittweida, Germany, July 10-12, 2024 Y1 - 2024 U6 - https://doi.org/10.1007/978-3-031-67159-3\_22 VL - 1087 SP - 196 EP - 205 ER - TY - CHAP A1 - Schleif, Frank-Michael ED - Villmann, Thomas ED - Kaden, Marika ED - Geweniger, Tina ED - Schleif, Frank-Michael T1 - Practical Approaches to Approximate Dominant Eigenvalues in Large Matrices T2 - Advances in Self-Organizing Maps, Learning Vector Quantization, Interpretable Machine Learning, and Beyond - Proceedings of the 15th International Workshop, WSOM+ 2024, Mittweida, Germany, July 10-12, 2024 Y1 - 2024 U6 - https://doi.org/10.1007/978-3-031-67159-3\_14 VL - 1087 SP - 118 EP - 128 ER - TY - CHAP A1 - Röder, Manuel A1 - Schleif, Frank-Michael ED - Bunse, Mirko ED - Herde, Marek ED - Krempl, Georg ED - Lemaire, Vincent ED - Tharwat, Alaa ED - Tuan Pham, Minh ED - Saadallah, Amal T1 - Deep Transfer Hashing for Adaptive Learning on Federated Streaming Data T2 - Proceedings of the Workshop on Interactive Adaptive Learning co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2024), Vilnius, Lithuania, September 9th, 2024 Y1 - 2024 VL - 3770 SP - 7 EP - 11 ER - TY - CHAP A1 - Röder, Manuel A1 - Münch, Maximilian A1 - Raab, Christoph A1 - Schleif, Frank-Michael ED - Castrillón Santana, Modesto ED - De Marsico, Maria ED - Fred, Ana T1 - Crossing Domain Borders with Federated Few-Shot Adaptation T2 - Proceedings of the 13th International Conference on Pattern Recognition Applications and Methods, ICPRAM 2024, Rome, Italy, February 24-26, 2024 Y1 - 2024 U6 - https://doi.org/10.5220/0012351900003654 SP - 511 EP - 521 ER - TY - JOUR A1 - Röder, Manuel A1 - Schleif, Frank-Michael T1 - Sparse Uncertainty-Informed Sampling from Federated Streaming Data JF - CoRR Y1 - 2024 U6 - https://doi.org/10.48550/ARXIV.2408.17108 VL - abs/2408.17108 ER - TY - JOUR A1 - Röder, Manuel A1 - Schleif, Frank-Michael T1 - Deep Transfer Hashing for Adaptive Learning on Federated Streaming Data JF - CoRR Y1 - 2024 U6 - https://doi.org/10.48550/ARXIV.2409.12575 VL - abs/2409.12575 ER -