IEEE

Optimizing Federated Learning on Non-IID Data with Clustering and Model Sharing

Abstract: The increased amount of data generated by edge computing has necessitated the development of efficient methods to leverage this vast information. Federated Learning (FL) offers a promising ...
IEEE

Generating High-Quality Logical Question-Answering Data for Large Language Models Using ...

Abstract: Logical reasoning is a foundational capability in large language models (LLMs). High-quality data is essential for enhancing the reasoning capabilities of LLMs through both pretraining and ...