A groundbreaking 2025 study presents a federated learning model for skin disease diagnosis that ensures privacy, speed, and high accuracy—without sending patient data to the cloud. Using InceptionV3 and secure aggregation, the system runs on edge devices like smartphones, achieving 98.6% accuracy across nine conditions while consuming minimal energy. Outperforming leading AI benchmarks, this innovation brings secure, scalable diagnostics to underserved areas—marking a new era in accessible digital healthcare.