6 citations · 14 across the 6 of their papers we have counts for
6 papers
PAGE: Equilibrate Personalization and Generalization in Federated Learning
Qian Chen, Zilong Wang, Jiaqi Hu +3
Federated learning (FL) is becoming a major driving force behind machine learning as a service, where customers (clients) collaboratively benefit from shared local updates under th…
RECESS Vaccine for Federated Learning: Proactive Defense Against Model Poisoning Attacks
Haonan Yan, Wenjing Zhang, Qian Chen +4
Model poisoning attacks greatly jeopardize the application of federated learning (FL). The effectiveness of existing defenses is susceptible to the latest model poisoning attacks,…
Class Attention Transfer Based Knowledge Distillation
Ziyao Guo, Haonan Yan, Hui Li +1
Previous knowledge distillation methods have shown their impressive performance on model compression tasks, however, it is hard to explain how the knowledge they transferred helps…
Dap-FL: Federated Learning flourishes by adaptive tuning and secure aggregation
Qian Chen, Zilong Wang, Jiawei Chen +2
Federated learning (FL), an attractive and promising distributed machine learning paradigm, has sparked extensive interest in exploiting tremendous data stored on ubiquitous mobile…
Monitoring-based Differential Privacy Mechanism Against Query-Flooding Parameter Duplication Attack
Haonan Yan, Xiaoguang Li, Hui Li +3
Public intelligent services enabled by machine learning algorithms are vulnerable to model extraction attacks that can steal confidential information of the learning models through…
Mitigating Query-Flooding Parameter Duplication Attack on Regression Models with High-Dimensional Gaussian Mechanism
Xiaoguang Li, Hui Li, Haonan Yan +3
Public intelligent services enabled by machine learning algorithms are vulnerable to model extraction attacks that can steal confidential information of the learning models through…