FedMap: Iterative Magnitude-Based Pruning for Communication-Efficient Federated Learning

Alexander Herzog, Robbie Southam, Ioannis Mavromatis +1

Federated Learning (FL) is a distributed machine learning approach that enables training on decentralized data while preserving privacy. However, FL systems often involve resource-…