Robust Adversarial Defenses in Federated Learning: Exploring the Impact of Data Heterogeneity

Qian Li (Co-first Author), Di Wu (Co-first Author), Dawei Zhou, Chenhao Lin, Shuai Liu, Cong Wang, Chao Shen*

*Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

Fingerprint

Dive into the research topics of 'Robust Adversarial Defenses in Federated Learning: Exploring the Impact of Data Heterogeneity'. Together they form a unique fingerprint.

Computer Science