IEEE

Comparing Accuracy and Consistency: LLMs vs. SOTA Deep Learning Models in Text-to-SQL

Abstract: Text-to-SQL is one of the most prominent areas where Large Language Models (LLMs) have seen extensive application. While Text-to-SQL systems using LLMs and pre-trained deep learning models ...
IEEE

A Study of Enhancing Federated Learning on Non-IID Data With Server Learning

Abstract: Federated learning (FL) has emerged as a means of distributed learning using local data stored at clients with a coordinating server. Recent studies showed that FL can suffer from poor ...