

, Raihan Jamil
, Md Injamul Haque
, Niazi Mahrab
, Sartaz Islam
, Mohammad Abdullah Al Nayeem Khan
, Nowreen Ahsan
, Md Abdur Rakib
80 (Abstract)
27 (Download)Abstract: Software Defect Prediction (SDP) is an issue of paramount importance for improvement of software quality but data isolation and privacy concerns across organizations affects efficacy of SDP. By making use of a Federated Learning (FL) framework in combination with Differential Privacy (DP) for collective learning without exchanging any raw data, we provide a unique solution... More
30 (Abstract)
13 (Download)Abstract: Cardiovascular diseases (CVDs) are among the leading causes of mortality worldwide. Early detection and risk stratification are critical for preventive care. Traditional machine learning (ML) models can predict heart disease risk but often lack interpretability and fail to integrate with real-time clinical data. Recent advances in fine-tuned large language models (Custom GPT) offer natural language... More


