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 ...
Add support in TRL for async reward functions so users can run batched external API calls (e.g. OpenAI/Deepseek or local inference) with asyncio.gather when computing rewards in the GRPO trainer. I am ...
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Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Protein function prediction is essential for elucidating biological processes and ...
Currently when passing #[automock] to a trait with async functions, it automatically generates Send for its return value to ensure thread safety. However, I am working on an async runtime that ...
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 ...
Senior iOS Engineer with over 12 years of experience developing scalable, user-focused apps using Swift, SwiftUI, UIKit, and more. Senior iOS Engineer with over 12 years of experience developing ...
LangGraph 0.3 introduces prebuilt AI agents, enhancing its framework for developers. This update, supported by tech giants, aims to simplify AI agent creation and foster community contributions.
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