Abstract: This article deals with periodic event-triggered control (PETC) of nonlinear systems, considering an equivalent quasi-linear parameter-varying (quasi-LPV) polytopic representation of the ...
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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 ...
In many AI applications today, performance is a big deal. You may have noticed that while working with Large Language Models (LLMs), a lot of time is spent waiting—waiting for an API response, waiting ...
COZY stands for Compact, On-point, Zero-overhead, Yet-powerful. A fine-tailored ecosystem of TypeScript libraries designed for your everyday needs—lightweight, efficient, and built to get the job done ...
As modern .NET applications grow increasingly reliant on concurrency to deliver responsive, scalable experiences, mastering asynchronous and parallel programming has become essential for every serious ...
Take advantage of the new Task.WhenEach method to process asynchronous tasks as they complete, enhancing the efficiency of your .NET applications. The upcoming release of .NET 9 introduces the ...
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