2024
Communication-Efficient Federated Learning Through Adaptive Weight Clustering And Server-Side Distillation
ICASSP 2024accepted
Federated Learning (FL) is a promising technique for the collaborative training of deep neural networks across multiple devices while preserving data privacy. Despite its potential benefits, FL is hindered by excessive communication costs due to repeated server-client communication during training.…