FedREDefense: Defending against Model Poisoning Attacks for Federated Learning using Model Update Reconstruction Error

Yueqi Xie; Minghong Fang; Neil Zhenqiang Gong

2024 ICML ICML 2024

FedREDefense: Defending against Model Poisoning Attacks for Federated Learning using Model Update Reconstruction Error

Abstract

No abstract available. No abstract was captured for this paper when its proceedings were scraped - most often an older edition published without one online. How the corpus is built. Papers without an abstract are not sent to the classifier, which is why this one carries no topics.

Authors

Yueqi Xie, Minghong Fang, Neil Zhenqiang Gong

Keywords

federated learning malicious client model poisoning attack non-iid data distribution distilled local knowledge model update reconstruction error

Download PDF