Abstract: Federated learning (FL) is a method for training a shared machine learning model without transferring raw data to a central server. This approach protects privacy while enabling ...

Our ThinkDepth.ai deep research 1) addresses the issue of balancing multiple factors for long horizon and complex tasks and 2) addresses the issue of balancing between model capability and structural ...

Hy 2 DL is a python library to create hydrological models for rainfall-runoff prediction using deep learning methods. The repository includes implementations with Large-Sample Hydrology datasets such ...

Abstract: A Deep Q-Learning approach to Intrusion Detection and Prevention Systems (IDPS) offers a cutting-edge solution for enhancing cybersecurity by leveraging intelligent machine learning models.