FedDIP: Federated Learning with Extreme Dynamic Pruning and Incremental Regularization

Qianyu Long, Christos Anagnostopoulos, Shameem Puthiya Parambath +1

Federated Learning (FL) has been successfully adopted for distributed training and inference of large-scale Deep Neural Networks (DNNs). However, DNNs are characterized by an extre…