A Survey of Trustworthy Federated Learning with Perspectives on Security, Robustness, and Privacy

Understand

Trustworthy artificial intelligence (AI) technology has revolutionized daily life and greatly benefited human society.

• Among various AI technologies, Federated Learning (FL) stands out as a promising solution for diverse real-world scenarios, ranging from risk evaluation systems in finance to cutting-edge technologies like drug discovery in life sciences.
• However, challenges around data isolation and privacy threaten the trustworthiness of FL systems.
• Adversarial attacks against data privacy, learning algorithm stability, and system confidentiality are particularly concerning in the context of distributed training in federated learning.