Suppose a Jupyter Notebook client (for example, a tab in Google Chrome or Visual Studio Code) provides a JavaScript object whose methods you want to call from its corresponding Python kernel. For ...
What are the differences between how AI systems handle JavaScript-rendered or interactively hidden content compared to ...
The key themes that defined the year behind us will also shape the one ahead. The most-read articles of 2025 tracked a return ...
aiodag allows you to easily define complex asynchronous processing pipelines by treating the pipeline as a DAG consisting of a collection of independent tasks. Rather than being connected through ...
Asynchronous Federated Learning with non-convex client objective functions and heterogeneous dataset
Abstract: Federated Learning is a distributed machine learning paradigm that enables model training across decentralized devices holding local data, thereby preserving data privacy and reducing the ...
Abstract: Digital Twin for Vehicular Networks (DTVN) continuously simulates and optimizes vehicle behaviors to support emerging 6G Internet-of-Vehicle (IoV) applications such as DT-assisted autonomous ...
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