SPFL: A Self-purified Federated Learning Method Against Poisoning
Attacks

SPFL: A Self-purified Federated Learning Method Against Poisoning Attacks

19 September 2023

Chip-Hong Chang

Jing Ye

Papers citing "SPFL: A Self-purified Federated Learning Method Against Poisoning Attacks"

6 / 6 papers shown

Title
Streamlined Federated Unlearning: Unite as One to Be Highly Efficient Lei Zhou Youwen Zhu Qiao Xue Ji Zhang Pengfei Zhang MU 87 1 0 28 Nov 2024
Federated Distillation: A Survey Lin Li Jianping Gou Baosheng Yu Lan Du Zhang Yiand Dacheng Tao DD FedML 56 4 0 02 Apr 2024
FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping Xiaoyu Cao Minghong Fang Jia Liu Neil Zhenqiang Gong FedML 117 611 0 27 Dec 2020
Privacy and Robustness in Federated Learning: Attacks and Defenses Lingjuan Lyu Han Yu Xingjun Ma Chen Chen Lichao Sun Jun Zhao Qiang Yang Philip S. Yu FedML 183 355 0 07 Dec 2020
Analyzing Federated Learning through an Adversarial Lens A. Bhagoji Supriyo Chakraborty Prateek Mittal S. Calo FedML 182 1,032 0 29 Nov 2018
Large scale distributed neural network training through online distillation Rohan Anil Gabriel Pereyra Alexandre Passos Róbert Ormándi George E. Dahl Geoffrey E. Hinton FedML 278 404 0 09 Apr 2018