Poisoning Attacks and Defenses in Federated Learning: A Survey

no code implementations • 14 Jan 2023 • Subhash Sagar, Chang-Sun Li, Seng W. Loke, Jinho Choi

Federated learning (FL) enables the training of models among distributed clients without compromising the privacy of training datasets, while the invisibility of clients datasets and the training process poses a variety of security threats.

Federated Learning