Federated Learning Security: Addressing Data Reconstruction Risks

This ArXiv paper focuses on a critical vulnerability in federated learning: data reconstruction attacks. The research aims to improve the security and resilience of federated learning systems by examining and mitigating these risks.

• •Addresses the threat of data reconstruction attacks.
• •Focuses on improving the security of federated learning.
• •Aims to enhance the resilience of FL systems.