Jin-Hyun Ahn

Cooperative Learning VIA Federated Distillation OVER Fading Channels

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 Federated Learning (FL). An alternative solution with reduced communication overhead, referred to as Federated Distillation…