2 papers
cs.DC2026
AI4EOSC: a Federated Cloud Platform for Artificial Intelligence in Scientific Research
Ignacio Heredia, Ãlvaro López GarcÃa, Fernando Aguilar Gómez +28
The rapid growth of Artificial Intelligence and Machine Learning in scientific research has highlighted a gap between industry-standard MLOps tools and platforms, and the unique re…
cs.LG2025
Exploring Federated Learning for Thermal Urban Feature Segmentation -- A Comparison of Centralized and Decentralized Approaches
Leonhard Duda, Khadijeh Alibabaei, Elena Vollmer +11
Federated Learning (FL) is an approach for training a shared Machine Learning (ML) model with distributed training data and multiple participants. FL allows bypassing limitations o…