As large language models (LLMs) like ChatGPT continue to advance, user expectations of them keep growing, including with ...

The conventional federated learning (FL) framework usually assumes synchronous reception and fusion of all the local models at the central aggregator and synchronous updating and training of the ...

Asynchronous Learning Helps Students Achieve Learning-Life Balance In much the same way that work-life balance has become a post-pandemic priority, learning-life balance is now critical for student ...

Learn how to evaluate the trade-offs between synchronous and asynchronous integration patterns for software integration solutions. See examples of common scenarios and best practices.

Federated learning is a fast-developing distributed learning scheme with promising applications in vertical domains such as industrial automation and connected automated driving. The heterogeneity of ...

Why students tune out—and how to change that. A recent report from a Harvard College Faculty of Arts and Sciences committee calls attention to two major campus concerns: First, that students ...