6 citations · 14 across the 6 of their papers we have counts for
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cs.LG2023
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…
cs.CR2023★ 2 cited
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,…
cs.CV2023★ 6 cited
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…