Study of the performance and scalability of federated learning for medical imaging with intermittent clients

Judith Sáinz-Pardo Díaz, Álvaro López García

Federated learning is a data decentralization privacy-preserving technique used to perform machine or deep learning in a secure way. In this paper we present theoretical aspects ab…