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 ...
In the wake of the 2024 United States presidential election, “Give us Barabbas” emerged in progressive Christian social media circles as a pithy critique of those who voted for Donald Trump. But ...
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 ...
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 ...
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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