Ahmet M. Elbir

A Hybrid Architecture for Federated and Centralized Learning

2021 · arXiv (Cornell University)

Many of the machine learning tasks rely on centralized learning (CL), which requires the transmission of local datasets from the clients to a parameter server (PS) entailing huge communication overhead. To overcome this, federated learning …