Federated Learning for Medical Applications: A Taxonomy, Current Trends, Challenges, and Future Research Directions

Ashish Rauniyar, Desta Haileselassie Hagos, Debesh Jha +4

With the advent of the IoT, AI, ML, and DL algorithms, the landscape of data-driven medical applications has emerged as a promising avenue for designing robust and scalable diagnos…