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 ...
When running some other code with extra GCC warnings enabled (-Wmissing-declaration) it looks like one function in the async_context_threadsafe_background C-object ...
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 ...
< 2.5.4, 3.0.0 - 3.0.3, 4.0.0 - 4.0.3 ...
In this tutorial, we demonstrate how to harness Crawl4AI, a modern, Python‑based web crawling toolkit, to extract structured data from web pages directly within Google Colab. Leveraging the power of ...
An installation view of “Tau Lewis: Spirit Level” at David Zwirner Los Angeles. Photo by Elon Schoenholz / Courtesy David Zwirner For her debut show with David Zwirner, Tau Lewis transformed the Los ...
Recent studies report that paranormal belief and conspiracy theory endorsement are differentially related to factors allied to positive wellbeing (e.g., meaning in life and coping behaviours). Since ...
The Rust leadership team announced progress on its 2024 project goals including support for async closures, stabilizing Rust language features used in the Linux kernel, and ongoing work on return type ...
The rear fog light is a crucial safety element in vehicles, especially in low visibility conditions such as fog, heavy rain, or snow. When illuminated, this warning light can generate concern among ...
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 ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results