Federated Learning with Sparsified Model Perturbation: Improving Accuracy under Client-Level Differential Privacy

Rui Hu, Yanmin Gong, Yuanxiong Guo

Federated learning (FL) that enables edge devices to collaboratively learn a shared model while keeping their training data locally has received great attention recently and can pr…