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

Generalized DataWeighting via Class-Level Gradient Manipulation

1 code implementation • NeurIPS 2021 • Can Chen, Shuhao Zheng, Xi Chen, Erqun Dong, Xue (Steve) Liu, Hao liu, Dejing Dou

To be specific, GDW unrolls the loss gradient to class-level gradients by the chain rule and reweights the flow of each gradient separately.

Generalized Data Weighting via Class-level Gradient Manipulation

1 code implementation • 29 Oct 2021 • Can Chen, Shuhao Zheng, Xi Chen, Erqun Dong, Xue Liu, Hao liu, Dejing Dou

To be specific, GDW unrolls the loss gradient to class-level gradients by the chain rule and reweights the flow of each gradient separately.