Communication for Federated Learning
||Communication for Federated Learning|
||Ema Becirovic <email@example.com>|
||2022-02-16 – 2023-03-01|
In this work we study different communication transmission schemes for federated learning. The difference from conventional transmission schemes is that in federated learning the goal is not to necessarily achieve high data throughput, rather to properly train the targeted machine learning problems. Both analog and digital communication is studied.