Approximate and Weighted Data Reconstruction Attack in Federated Learning

ArXi:2308.06822v3 Announce Type: replace-cross Federated Learning (FL) is a distributed learning paradigm that enables multiple clients to collaborate on building a machine learning model without sharing their private data. Although FL is considered privacy-preserved by design, recent data reconstruction attacks nstrate that an attacker can recover clients'