Abstract: Hierarchical Federated Learning (HFL) has been proposed to achieve large-scale model training and more efficient communication, surpassing conventional Federated Learning (FL). However, ...
Abstract: Federated learning has emerged as a foundational technique in the training of contemporary large language models (LLMs) and other privacy-sensitive machine learning applications. As a ...
The current OpenJDK 26 is strategically important and not only brings exciting innovations but also eliminates legacy issues like the outdated Applet API.
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