Performance comparison of different federated learning aggregation algorithms: How does the performance of different federated learning aggregation algorithms compare to each other?

Federated learning enables the construction of machine learning models, while adhering to privacy constraints and without sharing data between different devices. It is achieved by creating a machine learning model on each device that contains data, and then combining these models through an aggregation algorithm without sharing the data....