BiPruneFL: Computation and Communication Efficient Federated Learning With Binary Quantization and Pruning
Federated learning (FL) is a decentralized learning framework that allows a central server and multiple devices, referred to as clients, to collaboratively train a shared model without transmitting their private data to a central server.This approach helps to preserve data privacy and reduce the risk of information leakage.However, FL systems often