Microsoft has launched its Model Context Protocol (MCP) for Azure Functions, ensuring secure, standardized workflows for AI ...
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 ...
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 ...
Understanding asynchronous programming is akin to unlocking a powerful toolset for building efficient and responsive web applications. Asynchronous programming is essential to modern JavaScript ...
I am using the JS package, and when trying to convert a method, I am encountering issues. The method has four parameters, one of which is a function called complete which is called at the end to ...
Asynchronous Functions In JavaScript JavaScript Is a programming language commonly used In web development, and Is the basis for many websites and online tools. While JS was originally only meant for ...
Have you ever written code that looks like this? Maybe you also have error handling or a fancy delayed spinner that adds even more complexity. Writing the same code ...
Abstract: In a connected world, spare CPU cycles are up for grabs, if you only make its obtention easy enough. In this paper we present a distributed evolutionary computation system that uses the ...
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