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 ...
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 ...
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 ...
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: The aim of this study is to investigate first-year non-English-major Italian University students’ ability to assess their English proficiency at the beginning of the academic year based on ...
USDA is proposing a new rule intended to clarify what constitutes an “unfair practice” under the Packers and Stockyards Act. The proposed Fair and Competitive Livestock and Poultry Market rule ...
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