Designing Federated Learning systems is not trivial, as it requires managing heterogeneous and distributed clients’ resources, while balancing data privacy and system efficiency. Architectural ...

However, existing federated reinforcement learning approaches have not adequately addressed communication and computation overhead issues. To address these challenges, this study proposes a tensor ...

Learn how to implement the RMSProp optimization algorithm step by step in Python. Perfect for deep learning beginners and enthusiasts! #Python #DeepLearning #RMSProp #MachineLearning Would you ...

Elix and LINC Become the First in the World to Commercialize an AI Drug Discovery Platform Incorporating Federated Learning-Based AI Models Trained on Data from 16 Pharmaceutical Companies Elix ...