Abstract: Federated Learning (FL) is a promising distributed machine learning framework that allows clients to collaboratively train a global model without data leakage. The synchronous FL suffers ...
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Abstract: Asynchronous communication is essential in diverse contexts such as remote meetings, education, and collaboration. However, traditional replay-based systems lack interactivity and often fail ...
Scripting languages like Python and JavaScript quickly gained popularity and pushed further toward human readability. They ...
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When a library exposes only asynchronous APIs, consumers sometimes wrap them in synchronous calls to satisfy a synchronous interface or contract. This "sync-over-async" pattern can seem ...
When you have a synchronous method in a library, you might be tempted to expose an asynchronous counterpart that wraps it in xref:System.Threading.Tasks.Task.Run ...