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cs.CR2024★ 1 cited
Security and Privacy Issues and Solutions in Federated Learning for Digital Healthcare
Hyejun Jeong, Tai-Myoung Chung
The advent of Federated Learning has enabled the creation of a high-performing model as if it had been trained on a considerable amount of data. A multitude of participants and a s…
cs.CR2022
FedCC: Robust Federated Learning against Model Poisoning Attacks
Hyejun Jeong, Hamin Son, Seohu Lee +2
Federated learning is a distributed framework designed to address privacy concerns. However, it introduces new attack surfaces, which are especially prone when data is non-Independ…