FLock: Defending Malicious Behaviors in Federated Learning with Blockchain

no code implementations • 5 Nov 2022 • Nanqing Dong, Jiahao Sun, Zhipeng Wang, Shuoying Zhang, Shuhao Zheng

Federated learning (FL) is a promising way to allow multiple data owners (clients) to collaboratively train machine learning models without compromising data privacy.

Data Poisoning Federated Learning