Cristian Borcea

Complement Sparsification: Low-Overhead Model Pruning for Federated Learning

Federated Learning (FL) is a privacy-preserving distributed deep learning paradigm that involves substantial communication and computation effort, which is a problem for resource-constrained mobile and IoT devices. Model pruning/sparsification develops sparse models that could solve this problem, bu…