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 ...
< 2.5.4, 3.0.0 - 3.0.3, 4.0.0 - 4.0.3 ...
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 ...
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 ...
As developers and dta scientists, we often find ourselves needing to interact with these powerful models through APIs. However, as our applications grow in complexity and scale, the need for efficient ...
Abstract: This article addresses the problem of finite-time asynchronous switching control for fuzzy Markov jump systems (FMJSs) using polynomial membership functions. Firstly, a Lyapunov-Krasovskii ...
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 ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results