FL-GUARD: A Holistic Framework for Run-Time Detection and Recovery of Negative Federated Learning

Hong Lin, Lidan Shou, Ke Chen +2

Federated learning (FL) is a promising approach for learning a model from data distributed on massive clients without exposing data privacy. It works effectively in the ideal feder…