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 ...
In this tutorial, we demonstrate how to harness Crawl4AI, a modern, Python‑based web crawling toolkit, to extract structured data from web pages directly within Google Colab. Leveraging the power of ...
Recent studies report that paranormal belief and conspiracy theory endorsement are differentially related to factors allied to positive wellbeing (e.g., meaning in life and coping behaviours). Since ...
Despite evidence that some people with excess adiposity have ill health due to obesity, obesity is generally considered a harbinger of other diseases, not a disease in itself. The idea of obesity as a ...
LLMs enable interactions with external tools and data sources, such as weather APIs or calculators, through function calls, unlocking diverse applications like autonomous AI agents and neurosymbolic ...
The execution context defines the event context in which your code executes. The execution context is passed when an event occurs on a form or grid. Use it in your event handler to perform various ...
Von Willebrand factor (VWF) is a protein crucial to the blood clotting process. If you don’t have enough of this protein, or if it doesn’t work as it’s supposed to, you may have von Willebrand disease ...
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