Asynchronous and Flexible Federated Learning for COVID-19 Detection from Chest X-Ray Images

• Published in: Journal of advanced computational intelligence and intelligent informatics Vol. 29; no. 4; pp. 857 - 867
• Main Authors: Elhajjej, Mohamed Hedi, Said, Salwa, Arfaoui, Nouha, Ejbali, Ridha
• Format: Journal Article
• Language: English
• Published: Tokyo Fuji Technology Press Co. Ltd 20.07.2025
• Subjects: Collaboration; Communications traffic; COVID-19; Cybersecurity; Deep learning; Disease transmission; Efficiency; Federated learning; Heterogeneity; Information sharing; Machine learning; Medical imaging; Medical research; Privacy; X-rays

Machine learning, particularly deep learning, is a powerful tool for assisting radiologists in analyzing large volumes of chest X-ray images, significantly accelerating disease diagnosis. However, privacy regulations and data ownership challenges often hinder the centralization of sensitive patient...