Abstract: Federated learning (FL) is an efficient framework designed to facilitate collaborative model training across multiple distributed devices while preserving user data privacy. A significant ...
Abstract: Federated learning enables decentralized training without sharing raw data, making it suitable for privacy aware applications. However, its performance often degrades in real settings due to ...
Machine Learning (Linux only): braindecode, nilearn, nipype, nitime (only on Windows and Linux), PyTorch, scikit-learn, tensorflow, tensorflow-datasets, Torch Audio, Torch Vision Note: Setting up ...
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