Concealing Sensitive Samples against Gradient Leakage in Federated Learning

Jing Wu, Munawar Hayat, Mingyi Zhou +1

Federated Learning (FL) is a distributed learning paradigm that enhances users privacy by eliminating the need for clients to share raw, private data with the server. Despite the s…