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 ...
The Republican-controlled Congress recently passed a $9 billion rescission law, canceling a significant chunk of foreign aid spending and about $1 billion for public broadcasting. Beyond disliking ...
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 ...
A payment gateway is a technology that allows businesses to capture, authenticate, and encrypt online payment information from customers. If you want to accept payments online as a business, you’ll ...
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 ...
The rear fog light is a crucial safety element in vehicles, especially in low visibility conditions such as fog, heavy rain, or snow. When illuminated, this warning light can generate concern among ...
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 ...
What Is a VPN? Definition, How It Works, and More Your email has been sent A VPN (virtual private network) encrypts your internet traffic and protects your online privacy. Find out how it works and ...
You’re probably familiar with weighing things on a bathroom scale or kitchen scale, but do you know about a spring balance? Spring balances are simple yet clever tools that have been around for ...
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