Abstract: Federated learning remains inherently vulnerable in practical deployments, as malicious clients can behave unpredictably, launch coordinated delayed attacks, and exploit non-IID data ...

Abstract: With the increasing focus on the applications of artificial intelligence (AI), the number of layers and neurons in deep neural networks (DNN) is rapidly increasing, requiring a large amount ...

This library provides a thin Python client for making requests to LinkedIn APIs, utilizing the Python requests HTTP client library. LinkedIn's APIs are built on the Rest.li framework with additional ...

STM-Graph is a Python framework for analyzing spatial-temporal urban data and doing predictions using Graph Neural Networks. It provides a complete end-to-end pipeline from raw event data to trained ...