ICCK Transactions on Neural Computing | Volume 1, Issue 2: 78-86, 2025 | DOI: 10.62762/TNC.2025.356075
Abstract
The quick rate at which healthcare has accepted digital technologies has generated several sensitive medical record data. Though this data has huge potential for innovative medical research and personalized things in health care, it also brings with it a huge future worry for the safety and privacy of patients. Protection of sensitive patient data access is the main obstacle of our time; thanks to Federated Learning (FL) companies in these fields are not only reviewing data for fraud control but also are using this data for planning cancer treatment. This paper narrated FL to be the core technology used in solving the most important privacy and security issues with the health information-sha... More >
Graphical Abstract
