Cooperative Learning via Federated Distillation over Fading Channels

Jin-Hyun Ahn, Osvaldo Simeone, Joonhyuk Kang

Cooperative training methods for distributed machine learning are typically based on the exchange of local gradients or local model parameters. The latter approach is known as Fede…