Data-Agnostic Model Poisoning against Federated Learning: A Graph Autoencoder Approach

Kai Li, Jingjing Zheng, Xin Yuan +3

This paper proposes a novel, data-agnostic, model poisoning attack on Federated Learning (FL), by designing a new adversarial graph autoencoder (GAE)-based framework. The attack re…