Chúc mừng Sinh viên nhóm nghiên cứu UiTiOt đã có bài báo được chấp nhận tại Hội nghị quốc tế International Conference On Computational Intelligence In Engineering Science (ICCIES 2026) được tổ chức vào 02-04/4/2025 tại Thành phố Nha Trang, Tỉnh Khánh Hòa.
Bài báo: Enhancing Security and Efficiency in Diabetes Prediction using Federated Learning and Generative Adversarial Networks
Sinh viên thực hiện:
- Phạm Thái Bảo – ATCL2021 – Tác giả chính
- Hồng Bích Như – ATTT2023.2 – Đồng tác giả
Giảng viên hướng dẫn:
- PGS. TS. Lê Trung Quân
- ThS. Nguyễn Khánh Thuật
- ThS. Trần Thị Dung
Tóm tắt: Health plays a crucial role in our lives, and artificial intelligence technologies are increasingly applied to medical diagnosis. However, patient data is highly sensitive and cannot be shared publicly, which poses challenges for conventional AI approaches. Federated Learning offers a solution by enabling collaborative model training across distributed data sources while preserving privacy and complying with data protection regulations. In the context of diabetes diagnosis, datasets are often imbalanced, which can significantly affect model accuracy and reliability. In this paper, to address this issue, various imbalance handling techniques were applied and systematically evaluated, identifying the most effective approaches, resulting in a notable improvement of up to 7% in predictive performance. Furthermore, incorporating Generative Adversarial Network-generated synthetic data enhanced the model’s capability, achieving an F1-score of 93%, demonstrating the potential of synthetic data to mitigate both scarcity and class imbalance. Overall, the proposed Federated Learning-based framework effectively combines AI, data augmentation, and privacy-preserving techniques, providing a robust, accurate, and practical solution for real-world diabetes diagnosis, with significant potential for clinical adoption.
Thông tin Hội nghị: ICCIES 2026 is organized by Ton Duc Thang University and Co-hosts including Wroclaw University of Science and Technology (Poland) and University College Dublin (Ireland) and will be held during 02-04 April 2026 at Ton Duc Thang University, Nha Trang Campus, Khanh Hoa, Vietnam.
ICCIES 2026 is is an annual international academic exchange forum aimed at sharing experiences and discussing innovations, advancements, and future trends in intelligent computing research in various fields of engineering sciences, including Electrical-Electronics, Mechatronics, Information Technology, and the IoT ecosystem.
The conference helps to create a collaborative bridge, sharing research results, and bringing together many researchers from universities, academies, and businesses to meet and share advanced development techniques in the field of engineering sciences. The conference includes the participation of Ph.D. students, Postdoctoral researchers, and other young researchers from all over the world.
All accepted papers will be published in the Communications in Computer and Information Science (CCIS) series by Springer, which is indexed by ISI Proceedings, EI-Compendex, SCOPUS, and DBLP.
Homepage Hội nghị: https://iccies.tdtu.edu.vn/2026/
Thông tin chi tiết tại: https://www.facebook.com/share/p/1GQmaCRtZm/
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