Stefano Rini

Low-Rate Universal Vector Quantization for Federated Learning

2024

Federated learning (FL) is a distributed training paradigm in which the training of a machine learning model is coordinated by a central parameter server (PS) while the data is distributed across multiple edge devices. Thus, …